1
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Wang Z, Han K, Liu W, Wang Z, Shi C, Liu X, Huang M, Sun G, Liu S, Guo Q. Fast Real-Time Brain Tumor Detection Based on Stimulated Raman Histology and Self-Supervised Deep Learning Model. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024; 37:1160-1176. [PMID: 38326533 PMCID: PMC11169153 DOI: 10.1007/s10278-024-01001-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 12/18/2023] [Accepted: 12/21/2023] [Indexed: 02/09/2024]
Abstract
In intraoperative brain cancer procedures, real-time diagnosis is essential for ensuring safe and effective care. The prevailing workflow, which relies on histological staining with hematoxylin and eosin (H&E) for tissue processing, is resource-intensive, time-consuming, and requires considerable labor. Recently, an innovative approach combining stimulated Raman histology (SRH) and deep convolutional neural networks (CNN) has emerged, creating a new avenue for real-time cancer diagnosis during surgery. While this approach exhibits potential, there exists an opportunity for refinement in the domain of feature extraction. In this study, we employ coherent Raman scattering imaging method and a self-supervised deep learning model (VQVAE2) to enhance the speed of SRH image acquisition and feature representation, thereby enhancing the capability of automated real-time bedside diagnosis. Specifically, we propose the VQSRS network, which integrates vector quantization with a proxy task based on patch annotation for analysis of brain tumor subtypes. Training on images collected from the SRS microscopy system, our VQSRS demonstrates a significant speed enhancement over traditional techniques (e.g., 20-30 min). Comparative studies in dimensionality reduction clustering confirm the diagnostic capacity of VQSRS rivals that of CNN. By learning a hierarchical structure of recognizable histological features, VQSRS classifies major tissue pathological categories in brain tumors. Additionally, an external semantic segmentation method is applied for identifying tumor-infiltrated regions in SRH images. Collectively, these findings indicate that this automated real-time prediction technique holds the potential to streamline intraoperative cancer diagnosis, providing assistance to pathologists in simplifying the process.
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Affiliation(s)
- Zijun Wang
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, 102617, China
| | - Kaitai Han
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, 102617, China
| | - Wu Liu
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, 102617, China
| | - Zhenghui Wang
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, 102617, China
| | - Chaojing Shi
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, 102617, China
| | - Xi Liu
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, 102617, China
| | - Mengyuan Huang
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, 102617, China
| | - Guocheng Sun
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, 102617, China
| | - Shitou Liu
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, 102617, China
| | - Qianjin Guo
- Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, Beijing, 102617, China.
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2
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Huang X, Xue Z, Zhang D, Lee HJ. Pinpointing Fat Molecules: Advances in Coherent Raman Scattering Microscopy for Lipid Metabolism. Anal Chem 2024; 96:7945-7958. [PMID: 38700460 DOI: 10.1021/acs.analchem.4c01398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Affiliation(s)
- Xiangjie Huang
- College of Biomedical Engineering & Instrument Science, and Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027, China
| | - Zexin Xue
- College of Biomedical Engineering & Instrument Science, and Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027, China
| | - Delong Zhang
- MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou 310027, China
- Zhejiang Key Laboratory of Micro-nano Quantum Chips and Quantum Control, and School of Physics, Zhejiang University, Hangzhou 310027, China
| | - Hyeon Jeong Lee
- College of Biomedical Engineering & Instrument Science, and Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027, China
- MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou 310027, China
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3
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Chadha R, Guerrero JA, Wei L, Sanchez LM. Seeing is Believing: Developing Multimodal Metabolic Insights at the Molecular Level. ACS CENTRAL SCIENCE 2024; 10:758-774. [PMID: 38680555 PMCID: PMC11046475 DOI: 10.1021/acscentsci.3c01438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 02/16/2024] [Accepted: 02/20/2024] [Indexed: 05/01/2024]
Abstract
This outlook explores how two different molecular imaging approaches might be combined to gain insight into dynamic, subcellular metabolic processes. Specifically, we discuss how matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) and stimulated Raman scattering (SRS) microscopy, which have significantly pushed the boundaries of imaging metabolic and metabolomic analyses in their own right, could be combined to create comprehensive molecular images. We first briefly summarize the recent advances for each technique. We then explore how one might overcome the inherent limitations of each individual method, by envisioning orthogonal and interchangeable workflows. Additionally, we delve into the potential benefits of adopting a complementary approach that combines both MSI and SRS spectro-microscopy for informing on specific chemical structures through functional-group-specific targets. Ultimately, by integrating the strengths of both imaging modalities, researchers can achieve a more comprehensive understanding of biological and chemical systems, enabling precise metabolic investigations. This synergistic approach holds substantial promise to expand our toolkit for studying metabolites in complex environments.
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Affiliation(s)
- Rahuljeet
S Chadha
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125 United States
| | - Jason A. Guerrero
- Department
of Chemistry and Biochemistry, University
of California, Santa Cruz, Santa
Cruz, California 95064 United States
| | - Lu Wei
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125 United States
| | - Laura M. Sanchez
- Department
of Chemistry and Biochemistry, University
of California, Santa Cruz, Santa
Cruz, California 95064 United States
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4
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Yang Y, Bai X, Hu F. Photoswitchable polyynes for multiplexed stimulated Raman scattering microscopy with reversible light control. Nat Commun 2024; 15:2578. [PMID: 38519503 PMCID: PMC10959996 DOI: 10.1038/s41467-024-46904-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 03/13/2024] [Indexed: 03/25/2024] Open
Abstract
Optical imaging with photo-controllable probes has greatly advanced biological research. With superb chemical specificity of vibrational spectroscopy, stimulated Raman scattering (SRS) microscopy is particularly promising for super-multiplexed optical imaging with rich chemical information. Functional SRS imaging in response to light has been recently demonstrated, but multiplexed SRS imaging with reversible photocontrol remains unaccomplished. Here, we create a multiplexing palette of photoswitchable polyynes with 16 Raman frequencies by coupling asymmetric diarylethene with super-multiplexed Carbow (Carbow-switch). Through optimization of both electronic and vibrational spectroscopy, Carbow-switch displays excellent photoswitching properties under visible light control and SRS response with large frequency change and signal enhancement. Reversible and spatial-selective multiplexed SRS imaging of different organelles are demonstrated in living cells. We further achieve photo-selective time-lapse imaging of organelle dynamics during oxidative stress and protein phase separation. The development of Carbow-switch for photoswitchable SRS microscopy will open up new avenues to study complex interactions and dynamics in living cells with high spatiotemporal precision and multiplexing capability.
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Affiliation(s)
- Yueli Yang
- Department of Chemistry, MOE Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Tsinghua University, 100084, Beijing, China
| | - Xueyang Bai
- Department of Chemistry, MOE Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Tsinghua University, 100084, Beijing, China
| | - Fanghao Hu
- Department of Chemistry, MOE Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Tsinghua University, 100084, Beijing, China.
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5
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Xu L, Liang Y, Huang WE, Shang L, Chai L, Zhang X, Shi J, Li B, Wang Y, Xu Z, Lu Z. Rapid detection of six Oceanobacillus species in Daqu starter using single-cell Raman spectroscopy combined with machine learning. Microb Biotechnol 2024; 17:e14416. [PMID: 38381051 PMCID: PMC10880574 DOI: 10.1111/1751-7915.14416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 01/09/2024] [Accepted: 01/19/2024] [Indexed: 02/22/2024] Open
Abstract
Many traditional fermented foods and beverages industries around the world request the addition of multi-species starter cultures. However, the microbial community in starter cultures is subject to fluctuations due to their exposure to an open environment during fermentation. A rapid detection approach to identify the microbial composition of starter culture is essential to ensure the quality of the final products. Here, we applied single-cell Raman spectroscopy (SCRS) combined with machine learning to monitor Oceanobacillus species in Daqu starter, which plays crucial roles in the process of Chinese baijiu. First, a total of six Oceanobacillus species (O. caeni, O. kimchii, O. iheyensis, O. sojae, O. oncorhynchi subsp. Oncorhynchi and O. profundus) were detected in 44 Daqu samples by amplicon sequencing and isolated by pure culture. Then, we created a reference database of these Oceanobacillus strains which correlated their taxonomic data and single-cell Raman spectra (SCRS). Based on the SCRS dataset, five machine-learning algorithms were used to classify Oceanobacillus strains, among which support vector machine (SVM) showed the highest rate of accuracy. For validation of SVM-based model, we employed a synthetic microbial community composed of varying proportions of Oceanobacillus species and demonstrated a remarkable accuracy, with a mean error was less than 1% between the predicted result and the expected value. The relative abundance of six different Oceanobacillus species during Daqu fermentation was predicted within 60 min using this method, and the reliability of the method was proved by correlating the Raman spectrum with the amplicon sequencing profiles by partial least squares regression. Our study provides a rapid, non-destructive and label-free approach for rapid identification of Oceanobacillus species in Daqu starter culture, contributing to real-time monitoring of fermentation process and ensuring high-quality products.
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Affiliation(s)
- Lei Xu
- Key Laboratory of Industrial Biotechnology of Ministry of Education, School of BiotechnologyJiangnan UniversityWuxiChina
- National Engineering Research Center of Cereal Fermentation and Food BiomanufacturingJiangnan UniversityWuxiChina
| | - Yuan Liang
- Key Laboratory of Industrial Biotechnology of Ministry of Education, School of BiotechnologyJiangnan UniversityWuxiChina
| | - Wei E Huang
- Oxford Suzhou Centre for Advanced ResearchSuzhouChina
- Department of Engineering ScienceUniversity of OxfordOxfordUK
| | - Lin‐Dong Shang
- State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of SciencesChangchunChina
| | - Li‐Juan Chai
- National Engineering Research Center of Cereal Fermentation and Food BiomanufacturingJiangnan UniversityWuxiChina
| | - Xiao‐Juan Zhang
- National Engineering Research Center of Cereal Fermentation and Food BiomanufacturingJiangnan UniversityWuxiChina
| | - Jin‐Song Shi
- School of Life Sciences and Health EngineeringJiangnan UniversityWuxiChina
| | - Bei Li
- State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of SciencesChangchunChina
| | - Yun Wang
- Oxford Suzhou Centre for Advanced ResearchSuzhouChina
| | - Zheng‐Hong Xu
- Key Laboratory of Industrial Biotechnology of Ministry of Education, School of BiotechnologyJiangnan UniversityWuxiChina
- National Engineering Research Center of Cereal Fermentation and Food BiomanufacturingJiangnan UniversityWuxiChina
- National Engineering Research Center of Solid‐State BrewingLuzhouChina
| | - Zhen‐Ming Lu
- Key Laboratory of Industrial Biotechnology of Ministry of Education, School of BiotechnologyJiangnan UniversityWuxiChina
- National Engineering Research Center of Cereal Fermentation and Food BiomanufacturingJiangnan UniversityWuxiChina
- National Engineering Research Center of Solid‐State BrewingLuzhouChina
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6
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Zhang J, Lin H, Xu J, Zhang M, Ge X, Zhang C, Huang WE, Cheng JX. High-throughput single-cell sorting by stimulated Raman-activated cell ejection. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.16.562526. [PMID: 37904930 PMCID: PMC10614813 DOI: 10.1101/2023.10.16.562526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
Single-cell sorting is essential to explore cellular heterogeneity in biology and medicine. Recently developed Raman-activated cell sorting (RACS) circumvents the limitations of fluorescence-activated cell sorting, such as the cytotoxicity of labels. However, the sorting throughputs of all forms of RACS are limited by the intrinsically small cross-section of spontaneous Raman scattering. Here, we report a stimulated Raman-activated cell ejection (S-RACE) platform that enables high-throughput single-cell sorting based on high-resolution multi-channel stimulated Raman chemical imaging, in situ image decomposition, and laser-induced cell ejection. The performance of this platform was illustrated by sorting a mixture of 1 μm polymer beads, where 95% yield, 98% purity, and 14 events per second throughput were achieved. Notably, our platform allows live cell ejection, allowing for the growth of single colonies of bacteria and fungi after sorting. To further illustrate the chemical selectivity, lipid-rich Rhodotorula glutinis cells were successfully sorted from a mixture with Saccharomyces cerevisiae, confirmed by downstream quantitative PCR. Furthermore, by integrating a closed-loop feedback control circuit into the system, we realized real-time single-cell imaging and sorting, and applied this method to precisely eject regions of interest from a rat brain tissue section. The reported S-RACE platform opens exciting opportunities for a wide range of single-cell applications in biology and medicine.
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Affiliation(s)
- Jing Zhang
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
- Photonics Center, Boston University, Boston, MA 02215, USA
| | - Haonan Lin
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
- Photonics Center, Boston University, Boston, MA 02215, USA
| | - Jiabao Xu
- Division of Biomedical Engineering, James Watt School of Engineering, University of Glasgow, Glasgow, G12 8LT, UK
| | - Meng Zhang
- Photonics Center, Boston University, Boston, MA 02215, USA
- Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA
| | - Xiaowei Ge
- Photonics Center, Boston University, Boston, MA 02215, USA
- Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA
| | - Chi Zhang
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN 47907, USA
| | - Wei E. Huang
- Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK
| | - Ji-Xin Cheng
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
- Photonics Center, Boston University, Boston, MA 02215, USA
- Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA
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7
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Ishigane G, Toda K, Tamamitsu M, Shimada H, Badarla VR, Ideguchi T. Label-free mid-infrared photothermal live-cell imaging beyond video rate. LIGHT, SCIENCE & APPLICATIONS 2023; 12:174. [PMID: 37463888 DOI: 10.1038/s41377-023-01214-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 06/14/2023] [Accepted: 06/21/2023] [Indexed: 07/20/2023]
Abstract
Advancement in mid-infrared (MIR) technology has led to promising biomedical applications of MIR spectroscopy, such as liquid biopsy or breath diagnosis. On the contrary, MIR microscopy has been rarely used for live biological samples in an aqueous environment due to the lack of spatial resolution and the large water absorption background. Recently, mid-infrared photothermal (MIP) imaging has proven to be applicable to 2D and 3D single-cell imaging with high spatial resolution inherited from visible light. However, the maximum measurement rate has been limited to several frames s-1, limiting its range of use. Here, we develop a significantly improved wide-field MIP quantitative phase microscope with two orders-of-magnitude higher signal-to-noise ratio than previous MIP imaging techniques and demonstrate live-cell imaging beyond video rate. We first derive optimal system design by numerically simulating thermal conduction following the photothermal effect. Then, we develop the designed system with a homemade nanosecond MIR optical parametric oscillator and a high full-well-capacity image sensor. Our high-speed and high-spatial-resolution MIR microscope has great potential to become a new tool for life science, in particular for live-cell analysis.
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Affiliation(s)
- Genki Ishigane
- Department of Physics, The University of Tokyo, Tokyo, Japan
| | - Keiichiro Toda
- Department of Physics, The University of Tokyo, Tokyo, Japan
- Institute for Photon Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Miu Tamamitsu
- Department of Physics, The University of Tokyo, Tokyo, Japan
- Institute for Photon Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Hiroyuki Shimada
- Institute for Photon Science and Technology, The University of Tokyo, Tokyo, Japan
| | | | - Takuro Ideguchi
- Department of Physics, The University of Tokyo, Tokyo, Japan.
- Institute for Photon Science and Technology, The University of Tokyo, Tokyo, Japan.
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8
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Tamamizu K, Sakamoto T, Kurashige Y, Nozue S, Kumazaki S. Scytonemin redox status in a filamentous cyanobacterium visualized by an excitation-laser-line-scanning spontaneous Raman scattering spectral microscope. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 290:122258. [PMID: 36571864 DOI: 10.1016/j.saa.2022.122258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 12/05/2022] [Accepted: 12/16/2022] [Indexed: 06/18/2023]
Abstract
Some cyanobacteria produce a UVA-absorbing pigment, scytonemin, at extracellular sheaths. Although scytonemin-containing dark sheaths are recognizable through optical microscopes and its redox changes have been known for decades, there has been no report to obtain images of both oxidized and reduced scytonemins at subcellular resolution. Here, we show that a spontaneous Raman scattering spectral microscopy based on an excitation-laser-line-scanning method unveil 3D subcellular distributions of both the oxidized and reduced scytonemins in a filamentous cyanobacterium. The redox changes of scytonemin were supported by comparison in the Raman spectra between the cyanobacterial cells, solid-state scytonemin and quantum chemical normal mode analysis. Distributions of carotenoids, phycobilins, and the two redox forms of scytonemin were simultaneously visualized with an excitation wavelength at 1064 nm that is virtually free from the optical screening by the dark sheaths. The redox differentiation of scytonemin will advance our understanding of the redox homeostasis and secretion mechanisms of individual cyanobacteria as well as microscopic chemical environments in various microbial communities. The line-scanning Raman microscopy based on the 1064 nm excitation is thus a promising tool for exploring hitherto unreported Raman spectral features and distribution of nonfluorescent molecules embedded below nontransparent layers for visible light, while avoiding interference by autofluorescence.
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Affiliation(s)
- Kouto Tamamizu
- Department of Chemistry, Graduate School of Science, Kyoto University, Kitashirakawa, Sakyo-ku, Kyoto 606-8502, Japan
| | - Toshio Sakamoto
- School of Biological Science and Technology, College of Science and Engineering, Kanazawa University, Kakuma, Kanazawa 920-1192, Japan
| | - Yuki Kurashige
- Department of Chemistry, Graduate School of Science, Kyoto University, Kitashirakawa, Sakyo-ku, Kyoto 606-8502, Japan
| | - Shuho Nozue
- Department of Chemistry, Graduate School of Science, Kyoto University, Kitashirakawa, Sakyo-ku, Kyoto 606-8502, Japan
| | - Shigeichi Kumazaki
- Department of Chemistry, Graduate School of Science, Kyoto University, Kitashirakawa, Sakyo-ku, Kyoto 606-8502, Japan.
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9
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Jia H, Yue S. Stimulated Raman Scattering Imaging Sheds New Light on Lipid Droplet Biology. J Phys Chem B 2023; 127:2381-2394. [PMID: 36897936 PMCID: PMC10042165 DOI: 10.1021/acs.jpcb.3c00038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 02/05/2023] [Indexed: 03/11/2023]
Abstract
A lipid droplet (LD) is a dynamic organelle closely associated with cellular functions and energy homeostasis. Dysregulated LD biology underlies an increasing number of human diseases, including metabolic disease, cancer, and neurodegenerative disorder. Commonly used lipid staining and analytical tools have difficulty providing the information regarding LD distribution and composition at the same time. To address this problem, stimulated Raman scattering (SRS) microscopy uses the intrinsic chemical contrast of biomolecules to achieve both direct visualization of LD dynamics and quantitative analysis of LD composition with high molecular selectivity at the subcellular level. Recent developments of Raman tags have further enhanced sensitivity and specificity of SRS imaging without perturbing molecular activity. With these advantages, SRS microscopy has offered great promise for deciphering LD metabolism in single live cells. This article overviews and discusses the latest applications of SRS microscopy as an emerging platform to dissect LD biology in health and disease.
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Affiliation(s)
- Hao Jia
- Key Laboratory of Biomechanics and
Mechanobiology (Beihang University), Ministry of Education, Institute
of Medical Photonics, Beijing Advanced Innovation Center for Biomedical
Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
| | - Shuhua Yue
- Key Laboratory of Biomechanics and
Mechanobiology (Beihang University), Ministry of Education, Institute
of Medical Photonics, Beijing Advanced Innovation Center for Biomedical
Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
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10
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Sasaki R, Toda S, Sakamoto T, Sakuradani E, Shigeto S. Simultaneous Imaging and Characterization of Polyunsaturated Fatty Acids, Carotenoids, and Microcrystalline Guanine in Single Aurantiochytrium limacinum Cells with Linear and Nonlinear Raman Microspectroscopy. J Phys Chem B 2023; 127:2708-2718. [PMID: 36920390 PMCID: PMC10068736 DOI: 10.1021/acs.jpcb.3c00302] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Thraustochytrids are heterotrophic marine protists known for their high production capacity of various compounds with health benefits, such as polyunsaturated fatty acids and carotenoids. Although much effort has been focused on developing optimal cultivation methods for efficient microbial production, these high-value compounds and their interrelationships are not well understood at the single-cell level. Here we used spontaneous (linear) Raman and multiplex coherent anti-Stokes Raman scattering (CARS) microspectroscopy to visualize and characterize lipids (e.g., docosahexaenoic acid) and carotenoids (e.g., astaxanthin) accumulated in single living Aurantiochytrium limacinum cells. Spontaneous Raman imaging with the help of multivariate curve resolution-alternating least-squares enabled us to make unambiguous assignments of the molecular components we detected and derive their intracellular distributions separately. Near-IR excited CARS imaging yielded the Raman images at least an order of magnitude faster than spontaneous Raman imaging, with suppressed contributions of carotenoids. As the culture time increased from 2 to 5 days, the lipid amount increased by a factor of ∼7, whereas the carotenoid amount did not change significantly. Furthermore, we observed a highly localized component in A. limacinum cells. This component was found to be mixed crystals of guanine and other purine derivatives. The present study demonstrates the potential of the linear-nonlinear Raman hybrid approach that allows for accurate molecular identification and fast imaging in a label-free manner to link information derived from single cells with strategies for mass culture of useful thraustochytrids.
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Affiliation(s)
- Risa Sasaki
- Department of Chemistry, Graduate School of Science and Technology, Kwansei Gakuin University, 1 Gakuen Uegahara, Sanda, Hyogo 669-1330, Japan
| | - Shogo Toda
- Department of Chemistry, Graduate School of Science and Technology, Kwansei Gakuin University, 1 Gakuen Uegahara, Sanda, Hyogo 669-1330, Japan
| | - Takaiku Sakamoto
- Graduate School of Technology, Industrial and Social Sciences, Tokushima University, 2-1 Minamijosanjima-cho, Tokushima 770-8513, Japan
| | - Eiji Sakuradani
- Graduate School of Technology, Industrial and Social Sciences, Tokushima University, 2-1 Minamijosanjima-cho, Tokushima 770-8513, Japan
| | - Shinsuke Shigeto
- Department of Chemistry, Graduate School of Science and Technology, Kwansei Gakuin University, 1 Gakuen Uegahara, Sanda, Hyogo 669-1330, Japan
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11
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Siu DMD, Lee KCM, Chung BMF, Wong JSJ, Zheng G, Tsia KK. Optofluidic imaging meets deep learning: from merging to emerging. LAB ON A CHIP 2023; 23:1011-1033. [PMID: 36601812 DOI: 10.1039/d2lc00813k] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Propelled by the striking advances in optical microscopy and deep learning (DL), the role of imaging in lab-on-a-chip has dramatically been transformed from a silo inspection tool to a quantitative "smart" engine. A suite of advanced optical microscopes now enables imaging over a range of spatial scales (from molecules to organisms) and temporal window (from microseconds to hours). On the other hand, the staggering diversity of DL algorithms has revolutionized image processing and analysis at the scale and complexity that were once inconceivable. Recognizing these exciting but overwhelming developments, we provide a timely review of their latest trends in the context of lab-on-a-chip imaging, or coined optofluidic imaging. More importantly, here we discuss the strengths and caveats of how to adopt, reinvent, and integrate these imaging techniques and DL algorithms in order to tailor different lab-on-a-chip applications. In particular, we highlight three areas where the latest advances in lab-on-a-chip imaging and DL can form unique synergisms: image formation, image analytics and intelligent image-guided autonomous lab-on-a-chip. Despite the on-going challenges, we anticipate that they will represent the next frontiers in lab-on-a-chip imaging that will spearhead new capabilities in advancing analytical chemistry research, accelerating biological discovery, and empowering new intelligent clinical applications.
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Affiliation(s)
- Dickson M D Siu
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, Hong Kong.
| | - Kelvin C M Lee
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, Hong Kong.
| | - Bob M F Chung
- Advanced Biomedical Instrumentation Centre, Hong Kong Science Park, Shatin, New Territories, Hong Kong
| | - Justin S J Wong
- Conzeb Limited, Hong Kong Science Park, Shatin, New Territories, Hong Kong
| | - Guoan Zheng
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT, USA
| | - Kevin K Tsia
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, Hong Kong.
- Advanced Biomedical Instrumentation Centre, Hong Kong Science Park, Shatin, New Territories, Hong Kong
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12
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Ebenezer TE, Low RS, O'Neill EC, Huang I, DeSimone A, Farrow SC, Field RA, Ginger ML, Guerrero SA, Hammond M, Hampl V, Horst G, Ishikawa T, Karnkowska A, Linton EW, Myler P, Nakazawa M, Cardol P, Sánchez-Thomas R, Saville BJ, Shah MR, Simpson AGB, Sur A, Suzuki K, Tyler KM, Zimba PV, Hall N, Field MC. Euglena International Network (EIN): Driving euglenoid biotechnology for the benefit of a challenged world. Biol Open 2022; 11:bio059561. [PMID: 36412269 PMCID: PMC9836076 DOI: 10.1242/bio.059561] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Euglenoids (Euglenida) are unicellular flagellates possessing exceptionally wide geographical and ecological distribution. Euglenoids combine a biotechnological potential with a unique position in the eukaryotic tree of life. In large part these microbes owe this success to diverse genetics including secondary endosymbiosis and likely additional sources of genes. Multiple euglenoid species have translational applications and show great promise in production of biofuels, nutraceuticals, bioremediation, cancer treatments and more exotically as robotics design simulators. An absence of reference genomes currently limits these applications, including development of efficient tools for identification of critical factors in regulation, growth or optimization of metabolic pathways. The Euglena International Network (EIN) seeks to provide a forum to overcome these challenges. EIN has agreed specific goals, mobilized scientists, established a clear roadmap (Grand Challenges), connected academic and industry stakeholders and is currently formulating policy and partnership principles to propel these efforts in a coordinated and efficient manner.
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Affiliation(s)
- ThankGod Echezona Ebenezer
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Ross S. Low
- Organisms and Ecosystems, Earlham Institute, Norwich Research Park, Norwich NR4 7UZ, UK
| | | | - Ishuo Huang
- Office of Regulatory Science, United States Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, MD 20740, USA
| | - Antonio DeSimone
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa 56127, Italy
| | - Scott C. Farrow
- Discovery Biology, Noblegen Inc., Peterborough, Ontario K9L 1Z8, Canada
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario K9L 0G2, Canada
| | - Robert A. Field
- Department of Chemistry and Manchester Institute of Biotechnology, University of Manchester, Manchester M1 7DN, UK
| | - Michael L. Ginger
- School of Applied Sciences, University of Huddersfield, Huddersfield HD1 3DH, UK
| | - Sergio Adrián Guerrero
- Laboratorio de Enzimología Molecular, Instituto de Agrobiotecnología del Litoral. CCT CONICET Santa Fe, Santa Fe 3000, Argentina
| | - Michael Hammond
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice 370 05, Czech Republic
| | - Vladimír Hampl
- Charles University, Faculty of Science, Department of Parasitology, BIOCEV, Vestec 25250, Czech Republic
| | - Geoff Horst
- Kemin Industries, Research and Development, Plymouth, MI 48170, USA
| | - Takahiro Ishikawa
- Institute of Agricultural and Life Sciences, Academic Assembly, Shimane University, Matsue 690-8504, Japan
| | - Anna Karnkowska
- Institute of Evolutionary Biology, Faculty of Biology, University of Warsaw, Warsaw 02-089, Poland
| | - Eric W. Linton
- Department of Biology, Central Michigan University, Mt. Pleasant, MI 48859, USA
| | - Peter Myler
- Center for Global Infectious Disease Research, Seattle Children's Research Institute and Department of Biomedical Informatics & Medical Education, University of Washington, WA 98109, USA
| | - Masami Nakazawa
- Department of Applied Biochemistry, Faculty of Agriculture, Osaka Metropolitan University, Sakai, Osaka, 599-8531, Japan
| | - Pierre Cardol
- Department of Life Sciences, Institut de Botanique, Université de Liège, Liège 4000, Belgium
| | | | - Barry J. Saville
- Forensic Science, Environmental and Life Sciences Graduate Program, Trent University, Peterborough K9L 0G2, Canada
| | - Mahfuzur R. Shah
- Discovery Biology, Noblegen Inc., Peterborough, Ontario K9L 1Z8, Canada
| | - Alastair G. B. Simpson
- Department of Biology and Institute for Comparative Genomics, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada
| | - Aakash Sur
- Center for Global Infectious Disease Research, Seattle Children's Research Institute and Department of Biomedical Informatics & Medical Education, University of Washington, WA 98109, USA
| | - Kengo Suzuki
- R&D Company, Euglena Co., Ltd., 2F Yokohama Bio Industry Center (YBIC), 1-6 Suehiro, Tsurumi, Yokohama, Kanagawa, 230-0045, Japan
| | - Kevin M. Tyler
- Biomedical Research Centre, Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK
- Center of Excellence for Bionanoscience Research, King Abdul Aziz University, Jeddah, Saudi Arabia
| | - Paul V. Zimba
- PVZimba, LLC, 12241 Percival St, Chester, VA 23831, USA
- Rice Rivers Center, VA Commonwealth University, Richmond, VA 23284, USA
| | - Neil Hall
- Organisms and Ecosystems, Earlham Institute, Norwich Research Park, Norwich NR4 7UZ, UK
- School of Biological Sciences, University of East Anglia, Norwich, NR4 7TJ, Norfolk, UK
| | - Mark C. Field
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice 370 05, Czech Republic
- School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
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13
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Salehi H, Ramoji A, Mougari S, Merida P, Neyret A, Popp J, Horvat B, Muriaux D, Cuisinier F. Specific intracellular signature of SARS-CoV-2 infection using confocal Raman microscopy. Commun Chem 2022; 5:85. [PMID: 35911504 PMCID: PMC9311350 DOI: 10.1038/s42004-022-00702-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 07/01/2022] [Indexed: 01/27/2023] Open
Abstract
SARS-CoV-2 infection remains spread worldwide and requires a better understanding of virus-host interactions. Here, we analyzed biochemical modifications due to SARS-CoV-2 infection in cells by confocal Raman microscopy. Obtained results were compared with the infection with another RNA virus, the measles virus. Our results have demonstrated a virus-specific Raman molecular signature, reflecting intracellular modification during each infection. Advanced data analysis has been used to distinguish non-infected versus infected cells for two RNA viruses. Further, classification between non-infected and SARS-CoV-2 and measles virus-infected cells yielded an accuracy of 98.9 and 97.2 respectively, with a significant increase of the essential amino-acid tryptophan in SARS-CoV-2-infected cells. These results present proof of concept for the application of Raman spectroscopy to study virus-host interaction and to identify factors that contribute to the efficient SARS-CoV-2 infection and may thus provide novel insights on viral pathogenesis, targets of therapeutic intervention and development of new COVID-19 biomarkers.
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Affiliation(s)
| | - Anuradha Ramoji
- Friedrich-Schiller-University Jena, Institute of Physical Chemistry and Abbe Center of Photonics (IPC), Helmholtzweg 4, D-07743 Jena, Germany
- Leibniz Institute of Photonic Technology (IPHT), Member of Leibniz Health Technologies, Albert-Einstein-Straße 9, D-07745 Jena, Germany
- Jena University Hospital, Center for Sepsis Control and Care (CSCC), Friedrich-Schiller-University Jena, Am Klinikum 1, 07747 Jena, Germany
| | - Said Mougari
- CIRI, International Center for Infectiology Research, INSERM U1111, CNRS UMR5308, Université de Lyon, Université Claude Bernard Lyon, École Normale Supérieure de Lyon, Lyon, France
| | - Peggy Merida
- Institute of Research in Infectiology of Montpellier (IRIM), University of Montpellier, UMR9004 CNRS Montpellier, France
| | - Aymeric Neyret
- CEMIPAI, University of Montpellier, UMS3725 CNRS Montpellier, France
| | - Jurgen Popp
- Friedrich-Schiller-University Jena, Institute of Physical Chemistry and Abbe Center of Photonics (IPC), Helmholtzweg 4, D-07743 Jena, Germany
- Leibniz Institute of Photonic Technology (IPHT), Member of Leibniz Health Technologies, Albert-Einstein-Straße 9, D-07745 Jena, Germany
- Jena University Hospital, Center for Sepsis Control and Care (CSCC), Friedrich-Schiller-University Jena, Am Klinikum 1, 07747 Jena, Germany
| | - Branka Horvat
- CIRI, International Center for Infectiology Research, INSERM U1111, CNRS UMR5308, Université de Lyon, Université Claude Bernard Lyon, École Normale Supérieure de Lyon, Lyon, France
| | - Delphine Muriaux
- Institute of Research in Infectiology of Montpellier (IRIM), University of Montpellier, UMR9004 CNRS Montpellier, France
- CEMIPAI, University of Montpellier, UMS3725 CNRS Montpellier, France
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14
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Abstract
As an emerging optical imaging modality, stimulated Raman scattering (SRS) microscopy provides invaluable opportunities for chemical biology studies using its rich chemical information. Through rapid progress over the past decade, the development of Raman probes harnessing the chemical biology toolbox has proven to play a key role in advancing SRS microscopy and expanding biological applications. In this perspective, we first discuss the development of biorthogonal SRS imaging using small tagging of triple bonds or isotopes and highlight their unique advantages for metabolic pathway analysis and microbiology investigations. Potential opportunities for chemical biology studies integrating small tagging with SRS imaging are also proposed. We next summarize the current designs of highly sensitive and super-multiplexed SRS probes, as well as provide future directions and considerations for next-generation functional probe design. These rationally designed SRS probes are envisioned to bridge the gap between SRS microscopy and chemical biology research and should benefit their mutual development.
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Affiliation(s)
- Jiajun Du
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA
| | - Haomin Wang
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA
| | - Lu Wei
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA
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15
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Feuzing F, Mbakidi JP, Marchal L, Bouquillon S, Leroy E. A review of paramylon processing routes from microalga biomass to non-derivatized and chemically modified products. Carbohydr Polym 2022; 288:119181. [PMID: 35450615 DOI: 10.1016/j.carbpol.2022.119181] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 01/04/2022] [Accepted: 01/21/2022] [Indexed: 11/02/2022]
Abstract
Paramylon is a linear β-1,3-glucan, similar to curdlan, produced as intracellular granules by the microalga Euglena gracilis, a highly versatile and robust strain, able to grow under various trophic conditions, with valorization of CO2, wastewaters, or food byproducts as nutrients. This review focuses in particular on the various processing routes leading to new potential paramylon based products. Due to its crystalline structure, involving triple helices stabilized by internal intermolecular hydrogen bonds, paramylon is neither water-soluble nor thermoplastic. The few solvents able to disrupt the triple helices, and to fully solubilize the polymer as random coils, allow non derivatizing shaping into films, fibers, and even nanofibers by a specific self-assembly mechanism. Chemical modification in homogeneous or heterogeneous conditions is also possible. The non-selective or regioselective substitution of the hydroxyl groups of glucosidic units leads to water-soluble ionic derivatives and thermoplastic paramylon esters with foreseen applications ranging from health to bioplastics.
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Affiliation(s)
- Frédérica Feuzing
- Université de Nantes, Oniris, CNRS, GEPEA, UMR 6144, F- 44470 Carquefou, France; Institut de Chimie Moléculaire de Reims, CNRS UMR 7312, Université de Reims Champagne-Ardenne, BP 1039, 51687 Reims Cedex, France
| | - Jean Pierre Mbakidi
- Institut de Chimie Moléculaire de Reims, CNRS UMR 7312, Université de Reims Champagne-Ardenne, BP 1039, 51687 Reims Cedex, France
| | - Luc Marchal
- Université de Nantes, Oniris, CNRS, GEPEA, UMR 6144, F- 44470 Carquefou, France
| | - Sandrine Bouquillon
- Institut de Chimie Moléculaire de Reims, CNRS UMR 7312, Université de Reims Champagne-Ardenne, BP 1039, 51687 Reims Cedex, France
| | - Eric Leroy
- Université de Nantes, Oniris, CNRS, GEPEA, UMR 6144, F- 44470 Carquefou, France.
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16
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Instant diagnosis of gastroscopic biopsy via deep-learned single-shot femtosecond stimulated Raman histology. Nat Commun 2022; 13:4050. [PMID: 35831299 PMCID: PMC9279377 DOI: 10.1038/s41467-022-31339-8] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 06/15/2022] [Indexed: 12/18/2022] Open
Abstract
Gastroscopic biopsy provides the only effective method for gastric cancer diagnosis, but the gold standard histopathology is time-consuming and incompatible with gastroscopy. Conventional stimulated Raman scattering (SRS) microscopy has shown promise in label-free diagnosis on human tissues, yet it requires the tuning of picosecond lasers to achieve chemical specificity at the cost of time and complexity. Here, we demonstrate that single-shot femtosecond SRS (femto-SRS) reaches the maximum speed and sensitivity with preserved chemical resolution by integrating with U-Net. Fresh gastroscopic biopsy is imaged in <60 s, revealing essential histoarchitectural hallmarks perfectly agreed with standard histopathology. Moreover, a diagnostic neural network (CNN) is constructed based on images from 279 patients that predicts gastric cancer with accuracy >96%. We further demonstrate semantic segmentation of intratumor heterogeneity and evaluation of resection margins of endoscopic submucosal dissection (ESD) tissues to simulate rapid and automated intraoperative diagnosis. Our method holds potential for synchronizing gastroscopy and histopathological diagnosis. Diagnosis of gastric cancer currently requires gastroscopic biopsy, which requires time and expertize to perform. Here, the authors demonstrate a femto-SRS imaging method which showed high accuracy in diagnosing gastric cancer without the need for pathologistbased diagnosis.
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17
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Ge X, Pereira FC, Mitteregger M, Berry D, Zhang M, Hausmann B, Zhang J, Schintlmeister A, Wagner M, Cheng JX. SRS-FISH: A high-throughput platform linking microbiome metabolism to identity at the single-cell level. Proc Natl Acad Sci U S A 2022; 119:e2203519119. [PMID: 35727976 PMCID: PMC9245642 DOI: 10.1073/pnas.2203519119] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/08/2022] [Indexed: 12/26/2022] Open
Abstract
One of the biggest challenges in microbiome research in environmental and medical samples is to better understand functional properties of microbial community members at a single-cell level. Single-cell isotope probing has become a key tool for this purpose, but the current detection methods for determination of isotope incorporation into single cells do not allow high-throughput analyses. Here, we report on the development of an imaging-based approach termed stimulated Raman scattering-two-photon fluorescence in situ hybridization (SRS-FISH) for high-throughput metabolism and identity analyses of microbial communities with single-cell resolution. SRS-FISH offers an imaging speed of 10 to 100 ms per cell, which is two to three orders of magnitude faster than achievable by state-of-the-art methods. Using this technique, we delineated metabolic responses of 30,000 individual cells to various mucosal sugars in the human gut microbiome via incorporation of deuterium from heavy water as an activity marker. Application of SRS-FISH to investigate the utilization of host-derived nutrients by two major human gut microbiome taxa revealed that response to mucosal sugars tends to be dominated by Bacteroidales, with an unexpected finding that Clostridia can outperform Bacteroidales at foraging fucose. With high sensitivity and speed, SRS-FISH will enable researchers to probe the fine-scale temporal, spatial, and individual activity patterns of microbial cells in complex communities with unprecedented detail.
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Affiliation(s)
- Xiaowei Ge
- Department of Electrical & Computer Engineering, Boston University, Boston, MA 02215
| | - Fátima C. Pereira
- Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria
| | - Matthias Mitteregger
- Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria
| | - David Berry
- Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria
| | - Meng Zhang
- Department of Electrical & Computer Engineering, Boston University, Boston, MA 02215
| | - Bela Hausmann
- Joint Microbiome Facility of the Medical University of Vienna and the University of Vienna, 1030 Vienna, Austria
- Department of Laboratory Medicine, Medical University of Vienna, 1090 Vienna, Austria
| | - Jing Zhang
- Department of Biomedical Engineering, Photonics Center, Boston University, Boston, MA 02215
| | - Arno Schintlmeister
- Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria
| | - Michael Wagner
- Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, 1030 Vienna, Austria
- Department of Chemistry and Bioscience, Aalborg University, 9220 Aalborg, Denmark
| | - Ji-Xin Cheng
- Department of Electrical & Computer Engineering, Boston University, Boston, MA 02215
- Department of Biomedical Engineering, Photonics Center, Boston University, Boston, MA 02215
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18
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Grujcic V, Taylor GT, Foster RA. One Cell at a Time: Advances in Single-Cell Methods and Instrumentation for Discovery in Aquatic Microbiology. Front Microbiol 2022; 13:881018. [PMID: 35677911 PMCID: PMC9169044 DOI: 10.3389/fmicb.2022.881018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
Studying microbes from a single-cell perspective has become a major theme and interest within the field of aquatic microbiology. One emerging trend is the unfailing observation of heterogeneity in activity levels within microbial populations. Wherever researchers have looked, intra-population variability in biochemical composition, growth rates, and responses to varying environmental conditions has been evident and probably reflect coexisting genetically distinct strains of the same species. Such observations of heterogeneity require a shift away from bulk analytical approaches and development of new methods or adaptation of existing techniques, many of which were first pioneered in other, unrelated fields, e.g., material, physical, and biomedical sciences. Many co-opted approaches were initially optimized using model organisms. In a field with so few cultivable models, method development has been challenging but has also contributed tremendous insights, breakthroughs, and stimulated curiosity. In this perspective, we present a subset of methods that have been effectively applied to study aquatic microbes at the single-cell level. Opportunities and challenges for innovation are also discussed. We suggest future directions for aquatic microbiological research that will benefit from open access to sophisticated instruments and highly interdisciplinary collaborations.
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Affiliation(s)
- Vesna Grujcic
- Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden
| | - Gordon T Taylor
- School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, United States
| | - Rachel A Foster
- Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden
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19
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Xu Z, Oguchi K, Taguchi Y, Sano Y, Miyawaki Y, Cheon D, Katoh K, Ozeki Y. Stimulated Raman scattering spectroscopy with quantum-enhanced balanced detection. OPTICS EXPRESS 2022; 30:18589-18598. [PMID: 36221657 DOI: 10.1364/oe.456653] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 05/02/2022] [Indexed: 06/16/2023]
Abstract
Quantum-enhanced stimulated Raman scattering (QE-SRS) is a promising technique for highly sensitive molecular vibrational imaging and spectroscopy surpassing the shot noise limit. However, the previous demonstrations of QE-SRS utilized rather weak optical power which hinders from competing with the sensitivity of state-of-the-art SRS microscopy and spectroscopy using relatively high-power optical pulses. Here, we demonstrate SRS spectroscopy with quantum-enhanced balanced detection (QE-BD) scheme, which works even when using high-power optical pulses. We used 4-ps pulses to generate pulsed squeezed vacuum at a wavelength of 844 nm with a squeezing level of -3.28 ± 0.12 dB generated from a periodically-poled stoichiometric LiTaO3 waveguide. The squeezed vacuum was introduced to an SRS spectrometer employing a high-speed spectral scanner to acquire QE-SRS spectrum in the wavenumber range of 2000-2280 cm-1 within 50 ms. Using SRS pump pulses with an average power of 11.3 mW, we successfully obtained QE-SRS spectrum whose SNR was better than classical SRS with balanced-detection by 2.27 dB.
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20
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Kim JY, Jin CR, Kim HS, Park J, Choi YE. Fluorogenic "on-off" nanosensor based on dual-quenching effect for imaging intracellular metabolite of various microalgae. Biosens Bioelectron 2022; 198:113839. [PMID: 34856515 DOI: 10.1016/j.bios.2021.113839] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 11/23/2021] [Accepted: 11/24/2021] [Indexed: 12/30/2022]
Abstract
Sensing intracellular compounds such as ATP in living microalgal cells is of great importance in diverse fields. To achieve this, nanosensing platform composed of graphene oxide (GO) and ATP aptamer (APT) was applied to diverse microalgal cells (Chlamydomonas reinhardtii, Chlorella vulgaris, Anabaena flos-aquae, and Ochromonas danica). The nanosized GO was characterized with atomic force microscopy (AFM), transmission electron microscopy (TEM), and X-ray photoelectron spectroscopy (XPS). The nanosensing platform (GO-APT) was prepared by attaching fluorophore-labeled APT to GO. GO-APT was applicable to only cell wall-deficient species (O. danica and mutant strains of C. reinhardtii) and the existence of flagella did not affect the uptake of the GO-APT by the cells. These results indicate that the cell wall is the primary barrier of GO-APT internalization for sensing application. To reduce the background fluorescence signal elicited by nonspecific displacement of the fluorophore-labeled probe, APT was modified as molecular beacon (MB) type (APTMB). Owing to the double quenching effect (by GO and quencher-labeled complementary sequence), the background signal significantly reduced. Cytotoxicity of GO-APTMB on the microalgal species was also tested. The application of GO-APTMB had no effect on the growth of microalgae. Given that diverse aptamer sequences had been screened, the sensing platform is not limited for detecting ATP only, but also can be applied to other metabolite imaging by simply changing the aptamer sequences. Our research will contribute to broadening the application of GO and aptamer beacon complex for intracellular metabolite imaging and detecting.
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Affiliation(s)
- Jee Young Kim
- Division of Environmental Science & Ecological Engineering, Korea University, Seoul, 02841, South Korea
| | - Cho Rok Jin
- Division of Environmental Science & Ecological Engineering, Korea University, Seoul, 02841, South Korea
| | - Hyun Soo Kim
- Department of Electronic Engineering, Kwangwoon University, Seoul, 01897, South Korea
| | - Jaewon Park
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China.
| | - Yoon-E Choi
- Division of Environmental Science & Ecological Engineering, Korea University, Seoul, 02841, South Korea.
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21
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Simultaneous probing of dual intracellular metabolites (ATP and paramylon) in live microalgae using graphene oxide/aptamer nanocomplex. Mikrochim Acta 2022; 189:88. [DOI: 10.1007/s00604-022-05198-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 01/21/2022] [Indexed: 11/28/2022]
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22
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Yonamine Y, Asai T, Suzuki Y, Ito T, Ozeki Y, Hoshino Y. Probing the Biogenesis of Polysaccharide Granules in Algal Cells at Sub-Organellar Resolution via Raman Microscopy with Stable Isotope Labeling. Anal Chem 2021; 93:16796-16803. [PMID: 34870976 DOI: 10.1021/acs.analchem.1c03216] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Phototrophs assimilate CO2 into organic compounds that accumulate in storage organelles. Elucidation of the carbon dynamics of storage organelles could enhance the production efficiency of valuable compounds and facilitate the screening of strains with high photosynthetic activity. To comprehensively elucidate the carbon dynamics of these organelles, the intraorganellar distribution of the carbon atoms that accumulate at specific time periods should be probed. In this study, the biosynthesis of polysaccharides in storage organelles was spatiotemporally probed via stimulated Raman scattering (SRS) microscopy using a stable isotope (13C) as the tracking probe. Paramylon granules (a storage organelle of β-1,3-glucan) accumulated in a unicellular photosynthetic alga, Euglena gracilis, were investigated as a model organelle. The carbon source of the culture medium was switched from NaH12CO3 to NaH13CO3 during the production of the paramylon granules; this resulted in the distribution of the 12C and 13C constituents in the granules, so that the biosynthetic process could be tracked. Taking advantage of high-resolution SRS imaging and label switching, the localization of the 12C and 13C constituents inside a single paramylon granule could be visualized in three dimensions, thus revealing the growth process of paramylon granules. We propose that this method can be used for comprehensive elucidation of the dynamic activities of storage organelles.
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Affiliation(s)
- Yusuke Yonamine
- Research Institute for Electronic Science, Hokkaido University, Kita21, Nishi10, Kita-ku, Sapporo 001-0021, Japan
| | - Takuya Asai
- Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Yuta Suzuki
- Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Takuro Ito
- Department of Chemistry, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.,Japan Science and Technology Agency, 4-1-8, Honcho, Kawaguchi, Saitama 332-0012, Japan.,Department of Creative Engineering, National Institute of Technology (KOSEN), Tsuruoka College, 104 Sawada, Inooka, Tsuruoka, Yamagata 997-8511, Japan
| | - Yasuyuki Ozeki
- Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Yu Hoshino
- Department of Chemical Engineering, Kyushu University, 744 Motooka, Fukuoka 819-0395, Japan
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23
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Ni H, Lin P, Zhu Y, Zhang M, Tan Y, Zhan Y, Wang Z, Cheng JX. Multiwindow SRS Imaging Using a Rapid Widely Tunable Fiber Laser. Anal Chem 2021; 93:15703-15711. [PMID: 34787995 PMCID: PMC9713687 DOI: 10.1021/acs.analchem.1c03604] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Spectroscopic stimulated Raman scattering (SRS) imaging has become a useful tool finding a broad range of applications. Yet, wider adoption is hindered by the bulky and environmentally sensitive solid-state optical parametric oscillator (OPO) in a current SRS microscope. Moreover, chemically informative multiwindow SRS imaging across C-H, C-D, and fingerprint Raman regions is challenging due to the slow wavelength tuning speed of the solid-state OPO. In this work, we present a multiwindow SRS imaging system based on a compact and robust fiber laser with rapid and wide tuning capability. To address the relative intensity noise intrinsic to a fiber laser, we implemented autobalanced detection, which enhances the signal-to-noise ratio of stimulated Raman loss imaging by 23 times. We demonstrate high-quality SRS metabolic imaging of fungi, cancer cells, and Caenorhabditis elegans across the C-H, C-D, and fingerprint Raman windows. Our results showcase the potential of the compact multiwindow SRS system for a broad range of applications.
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Affiliation(s)
- Hongli Ni
- Department of Electrical and Computer Engineering, Boston University, 8 St. Mary’s St., Boston, MA, 02215, USA
| | - Peng Lin
- Department of Electrical and Computer Engineering, Boston University, 8 St. Mary’s St., Boston, MA, 02215, USA
| | - Yifan Zhu
- Department of Chemistry, Boston University, 590 Commonwealth Avenue, Boston, MA 02215, USA
| | - Meng Zhang
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, MA 02215, USA
| | - Yuying Tan
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, MA 02215, USA
| | - Yuewei Zhan
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, MA 02215, USA
| | - Zian Wang
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, MA 02215, USA
| | - Ji-Xin Cheng
- Department of Electrical and Computer Engineering, Boston University, 8 St. Mary’s St., Boston, MA, 02215, USA
- Department of Chemistry, Boston University, 590 Commonwealth Avenue, Boston, MA 02215, USA
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, MA 02215, USA
- Photonics Centre, Boston University, 8 St. Mary’s St., Boston, MA, 02215, USA
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24
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Kizawa S, Hashimoto M. Ultrahigh-speed multiplex coherent anti-Stokes Raman scattering microspectroscopy using scanning elliptical focal spot. J Chem Phys 2021; 155:144201. [PMID: 34654303 DOI: 10.1063/5.0063987] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
We present a beam-scanning multiplex coherent anti-Stokes Raman scattering (CARS) microspectroscopy system using parallel excitation and parallel detection schemes based on an elliptical focal spot, which enables highly efficient signal acquisition even for short exposures. The elliptical focal spot was used to simultaneously observe the CARS signals of an enlarged region and reduce the peak irradiance. The developed system realized an acquisition rate of 34 139 spectra/s and enabled ultrahigh-speed acquisition of a vibrational spectroscopic image, covering the fingerprint region of 930-1 830 cm-1 with 256(x) × 256(y) × 512(spectrum) pixels in 1.92 s or with 128(x) × 128(y) × 256(spectrum) pixels in 0.54 s. We demonstrated ultrahigh-speed hyperspectral imaging of a mixture of polymer beads in liquid linoleic acid and living adipocytes using the developed system. All of the present demonstrations were performed with a low-peak irradiance excitation of ∼19 GW/cm2, which has been reported in previous studies to cause less photodamage to living cells. The label-free and ultrahigh-speed identification and visualization of various molecules made possible by the present system will accelerate the development of practical live-cell investigation.
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Affiliation(s)
- Shun Kizawa
- Division of Bioengineering and Bioinformatics, Graduate School of Information Science and Technology, Hokkaido University, North 14, West 9, Kita-ku, Sapporo 060-0 814, Japan
| | - Mamoru Hashimoto
- Division of Bioengineering and Bioinformatics, Faculty of Information Science and Technology, Hokkaido University, North 14, West 9, Kita-ku, Sapporo 060-0 814, Japan
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25
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Pence IJ, Kuzma BA, Brinkmann M, Hellwig T, Evans CL. Multi-window sparse spectral sampling stimulated Raman scattering microscopy. BIOMEDICAL OPTICS EXPRESS 2021; 12:6095-6114. [PMID: 34745724 PMCID: PMC8547998 DOI: 10.1364/boe.432177] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/30/2021] [Accepted: 09/02/2021] [Indexed: 06/13/2023]
Abstract
Stimulated Raman scattering (SRS) is a nondestructive and rapid technique for imaging of biological and clinical specimens with label-free chemical specificity. SRS spectral imaging is typically carried out either via broadband methods, or by tuning narrowband ultrafast light sources over narrow spectral ranges thus specifically targeting vibrational frequencies. We demonstrate a multi-window sparse spectral sampling SRS (S4RS) approach where a rapidly-tunable dual-output all-fiber optical parametric oscillator is tuned into specific vibrational modes across more than 1400 cm-1 during imaging. This approach is capable of collecting SRS hyperspectral images either by scanning a full spectrum or by rapidly tuning into select target frequencies, hands-free and automatically, across the fingerprint, silent, and high wavenumber windows of the Raman spectrum. We further apply computational techniques for spectral decomposition and feature selection to identify a sparse subset of Raman frequencies capable of sample discrimination. Here we have applied this novel method to monitor spatiotemporal dynamic changes of active pharmaceutical ingredients in skin, which has particular relevance to topical drug product delivery.
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Affiliation(s)
- Isaac J Pence
- Wellman Center for Photomedicine, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Benjamin A Kuzma
- Wellman Center for Photomedicine, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | | | - Tim Hellwig
- Refined Laser Systems GmbH, Münster, Germany
| | - Conor L Evans
- Wellman Center for Photomedicine, Massachusetts General Hospital, Charlestown, MA 02129, USA
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26
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Zhang C, Aldana-Mendoza JA. Coherent Raman scattering microscopy for chemical imaging of biological systems. JPHYS PHOTONICS 2021. [DOI: 10.1088/2515-7647/abfd09] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Abstract
Coherent Raman scattering (CRS) processes, including both the coherent anti-Stokes Raman scattering and stimulated Raman scattering, have been utilized in state-of-the-art microscopy platforms for chemical imaging of biological samples. The key advantage of CRS microscopy over fluorescence microscopy is label-free, which is an attractive characteristic for modern biological and medical sciences. Besides, CRS has other advantages such as higher selectivity to metabolites, no photobleaching, and narrow peak width. These features have brought fast-growing attention to CRS microscopy in biological research. In this review article, we will first briefly introduce the history of CRS microscopy, and then explain the theoretical background of the CRS processes in detail using the classical approach. Next, we will cover major instrumentation techniques of CRS microscopy. Finally, we will enumerate examples of recent applications of CRS imaging in biological and medical sciences.
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27
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Jin CR, Kim JY, Kim DH, Jeon MS, Choi YE. In Vivo Monitoring of Intracellular Metabolite in a Microalgal Cell Using an Aptamer/Graphene Oxide Nanosheet Complex. ACS APPLIED BIO MATERIALS 2021; 4:5080-5089. [PMID: 35007056 DOI: 10.1021/acsabm.1c00322] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Real-time sensing and imaging of intracellular metabolites in living cells are crucial tools for the characterization of complex biological processes, including the dynamic fluctuation of metabolites. Therefore, additional efforts are required to develop in vivo detection strategies for the visualization and quantification of specific target metabolites, particularly in microalgae. In this study, we developed a strategy to monitor a specific microalgal metabolite in living cells using an aptamer/graphene oxide nanosheet (GOnS) complex. As a proof-of-concept, β-carotene, an antioxidant pigment that accumulates in most microalgal species, was chosen as a target metabolite. To achieve this, a β-carotene-specific aptamer was selected through graphene oxide-assisted systematic evolution of ligands by exponential enrichment (GO-SELEX) and characterized thereafter. The aptamer could sensitively sense the changes in the concentration of β-carotene (i.e., the target metabolite) and more specifically bind to β-carotene than to nontargets. The selected aptamer was labeled with a fluorophore (fluorescein; FAM) and allowed to form an aptamer/GOnS complex that protected the aptamer from nucleic cleavages. The aptamer/GOnS complex was delivered into the cells via electroporation, thus enabling the sensitive monitoring of β-carotene in the cell by quantifying the aptamer fluorescence intensity. The results suggest that our biocompatible strategy could be employed to visualize and semiquantify intracellular microalgae metabolites in vivo, which holds a great potential in diverse fields such as metabolite analysis and mutant screening.
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Affiliation(s)
- Cho Rok Jin
- Division of Environmental Science & Ecological Engineering, Korea University, Seoul 02841, Korea
| | - Jee Young Kim
- Division of Environmental Science & Ecological Engineering, Korea University, Seoul 02841, Korea
| | - Da Hee Kim
- Division of Environmental Science & Ecological Engineering, Korea University, Seoul 02841, Korea
| | - Min Seo Jeon
- Division of Environmental Science & Ecological Engineering, Korea University, Seoul 02841, Korea
| | - Yoon-E Choi
- Division of Environmental Science & Ecological Engineering, Korea University, Seoul 02841, Korea
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28
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Jin T, Zhang C, Liu F, Chen X, Liang G, Ren F, Liang S, Song C, Shi J, Qiu W, Jiang X, Li K, Xi L. On-Chip Multicolor Photoacoustic Imaging Flow Cytometry. Anal Chem 2021; 93:8134-8142. [PMID: 34048649 DOI: 10.1021/acs.analchem.0c05218] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
On-chip imaging flow cytometry has been widely used in cancer biology, immunology, microbiology, and drug discovery. Pure optical imaging combined with flow cytometry to derive chemical, structural, and morphological features of cells provides systematic insights into biological processes. However, due to the high concentration and strong optical attenuation of red blood cells, preprocessing is necessary for optical flow cytometry while dealing with whole blood. In this study, we develop an on-chip photoacoustic imaging flow cytometry (PAIFC), which combines multicolor high-speed photoacoustic microscopy and microfluidics for cell imaging. The device employs a micro-optical scanner to achieve a miniaturized outer size of 30 × 17 × 24 mm3 and ultrafast cross-sectional imaging at a frame rate of 1758 Hz and provides lateral and axial resolutions of 2.2 and 33 μm, respectively. Using a multicolor strategy, PAIFC is able to differentiate cells labeled by external contrast agents, detect melanoma cells with an endogenous contrast in whole blood, and image melanoma cells in blood samples from tumor-bearing mice. The results suggest that PAIFC has sufficient sensitivity and specificity for future cell-on-chip applications.
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Affiliation(s)
- Tian Jin
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Chen Zhang
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Fei Liu
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Xingxing Chen
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Guangru Liang
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Fei Ren
- School of Materials Science and Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Suzi Liang
- Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Shenzhen, Guangdong 518055, China
| | - Chaolong Song
- School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan, Hubei 430074, China
| | - Jianbing Shi
- School of Materials Science and Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Weibao Qiu
- Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Shenzhen, Guangdong 518055, China
| | - Xingyu Jiang
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Kai Li
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Lei Xi
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
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29
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Yang G, Yang C, Chen Y, Yu B, Bi Y, Liao J, Li H, Wang H, Wang Y, Liu Z, Gan Z, Yuan Q, Wang Y, Xia J, Wang P. Direct Imaging of Integrated Circuits in CPU with 60 nm Super-Resolution Optical Microscope. NANO LETTERS 2021; 21:3887-3893. [PMID: 33904733 DOI: 10.1021/acs.nanolett.1c00403] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Far-field super-resolution optical microscopies have achieved incredible success in life science for visualization of vital nanostructures organized in single cells. However, such resolution power has been much less extended to material science for inspection of human-made ultrafine nanostructures, simply because the current super-resolution optical microscopies modalities are rarely applicable to nonfluorescent samples or unlabeled systems. Here, we report an antiphase demodulation pump-probe (DPP) super-resolution microscope for direct optical inspection of integrated circuits (ICs) with a lateral resolution down to 60 nm. Because of the strong pump-probe (PP) signal from copper, we performed label-free super-resolution imaging of multilayered copper interconnects on a small central processing unit (CPU) chip. The label-free super-resolution DPP optical microscopy opens possibilities for easy, fast, and large-scale electronic inspection in the whole pipeline chain for designing and manufacturing ICs.
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Affiliation(s)
- Guang Yang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Chi Yang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Yage Chen
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Boyu Yu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Yali Bi
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Jiangshan Liao
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Haozheng Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Hong Wang
- Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Yuxi Wang
- Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Ziyu Liu
- Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Zongsong Gan
- Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Quan Yuan
- Institute of Chemical Biology and Nanomedicine, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
| | - Yi Wang
- Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Jinsong Xia
- Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Ping Wang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
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30
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Gala de Pablo J, Lindley M, Hiramatsu K, Goda K. High-Throughput Raman Flow Cytometry and Beyond. Acc Chem Res 2021; 54:2132-2143. [PMID: 33788539 DOI: 10.1021/acs.accounts.1c00001] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Flow cytometry is a powerful tool with applications in diverse fields such as microbiology, immunology, virology, cancer biology, stem cell biology, and metabolic engineering. It rapidly counts and characterizes large heterogeneous populations of cells in suspension (e.g., blood cells, stem cells, cancer cells, and microorganisms) and dissociated solid tissues (e.g., lymph nodes, spleen, and solid tumors) with typical throughputs of 1,000-100,000 events per second (eps). By measuring cell size, cell granularity, and the expression of cell surface and intracellular molecules, it provides systematic insights into biological processes. Flow cytometers may also include cell sorting capabilities to enable subsequent additional analysis of the sorted sample (e.g., electron microscopy and DNA/RNA sequencing), cloning, and directed evolution. Unfortunately, traditional flow cytometry has several critical limitations as it mainly relies on fluorescent labeling for cellular phenotyping, which is an indirect measure of intracellular molecules and surface antigens. Furthermore, it often requires time-consuming preparation protocols and is incompatible with cell therapy. To overcome these difficulties, a different type of flow cytometry based on direct measurements of intracellular molecules by Raman spectroscopy, or "Raman flow cytometry" for short, has emerged. Raman flow cytometry obtains a chemical fingerprint of the cell in a nondestructive manner, allowing for single-cell metabolic phenotyping. However, its slow signal acquisition due to the weak light-molecule interaction of spontaneous Raman scattering prevents the throughput necessary to interrogate large cell populations in reasonable time frames, resulting in throughputs of about 1 eps. The remedy to this throughput limit lies in coherent Raman scattering methods such as stimulated Raman scattering (SRS) and coherent anti-Stokes Raman scattering (CARS), which offer a significantly enhanced light-sample interaction and hence enable high-throughput Raman flow cytometry, Raman imaging flow cytometry, and even Raman image-activated cell sorting (RIACS). In this Account, we outline recent advances, technical challenges, and emerging opportunities of coherent Raman flow cytometry. First, we review the principles of various types of SRS and CARS and introduce several techniques of coherent Raman flow cytometry such as CARS, multiplex CARS, Fourier-transform CARS, SRS, SRS imaging flow cytometry, and RIACS. Next, we discuss a unique set of applications enabled by coherent Raman flow cytometry, from microbiology and lipid biology to cancer detection and cell therapy. Finally, we describe future opportunities and challenges of coherent Raman flow cytometry including increasing sensitivity and throughput, integration with droplet microfluidics, utilizing machine learning techniques, or achieving in vivo flow cytometry. This Account summarizes the growing field of high-throughput Raman flow cytometry and the bright future it can bring.
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Affiliation(s)
- Julia Gala de Pablo
- Department of Chemistry, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
| | - Matthew Lindley
- Department of Chemistry, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
| | - Kotaro Hiramatsu
- Department of Chemistry, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
- Kanagawa Institute of Industrial Science and Technology, 705-1 Shimoimaizumi, Ebina, Kanagawa 243-0435, Japan
- Research Center for Spectrochemistry, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- PRESTO, Japan Science and Technology Agency, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan
| | - Keisuke Goda
- Department of Chemistry, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
- Department of Bioengineering, University of California, 410 Westwood Plaza, Los Angeles, California 90095 United States
- Institute of Technological Sciences, Wuhan University, Wuchang District, Wuhan 430072, Hubei, China
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31
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Recent Development of Rapid Antimicrobial Susceptibility Testing Methods through Metabolic Profiling of Bacteria. Antibiotics (Basel) 2021; 10:antibiotics10030311. [PMID: 33803002 PMCID: PMC8002737 DOI: 10.3390/antibiotics10030311] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/07/2021] [Accepted: 03/08/2021] [Indexed: 11/17/2022] Open
Abstract
Due to the inappropriate use and overuse of antibiotics, the emergence and spread of antibiotic-resistant bacteria are increasing and have become a major threat to human health. A key factor in the treatment of bacterial infections and slowing down the emergence of antibiotic resistance is to perform antimicrobial susceptibility testing (AST) of infecting bacteria rapidly to prescribe appropriate drugs and reduce the use of broad-spectrum antibiotics. Current phenotypic AST methods based on the detection of bacterial growth are generally reliable but are too slow. There is an urgent need for new methods that can perform AST rapidly. Bacterial metabolism is a fast process, as bacterial cells double about every 20 to 30 min for fast-growing species. Moreover, bacterial metabolism has shown to be related to drug resistance, so a comparison of differences in microbial metabolic processes in the presence or absence of antimicrobials provides an alternative approach to traditional culture for faster AST. In this review, we summarize recent developments in rapid AST methods through metabolic profiling of bacteria under antibiotic treatment.
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32
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Ochiai N, Ozeki Y. Low-loss microscope optics with an axicon-based beam shaper. APPLIED OPTICS 2021; 60:2252-2262. [PMID: 33690322 DOI: 10.1364/ao.417707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 02/09/2021] [Indexed: 06/12/2023]
Abstract
We present low-loss microscope optics using an axicon-based beam shaper, which can convert a Gaussian beam to a ring beam to minimize the optical loss from blocking by the back aperture of the objective lens while maintaining spatial resolution. To design the beam shaper, we characterize the position-dependent transmittance of high-transmittance objective lenses and numerically calculate the beam propagation in the beam shaper. We also clarify the effect of misalignments of the beam shaper and wavefront distortion of the input beam. Furthermore, we experimentally demonstrate a low-loss microscope optical system with a high transmittance of 86.6% and high spatial resolution using the full numerical aperture of the objective lenses.
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33
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Oikawa K, Imai T, Thagun C, Toyooka K, Yoshizumi T, Ishikawa K, Kodama Y, Numata K. Mitochondrial movement during its association with chloroplasts in Arabidopsis thaliana. Commun Biol 2021; 4:292. [PMID: 33674706 PMCID: PMC7935954 DOI: 10.1038/s42003-021-01833-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 02/11/2021] [Indexed: 02/05/2023] Open
Abstract
Plant mitochondria move dynamically inside cells and this movement is classified into two types: directional movement, in which mitochondria travel long distances, and wiggling, in which mitochondria travel short distances. However, the underlying mechanisms and roles of both types of mitochondrial movement, especially wiggling, remain to be determined. Here, we used confocal laser-scanning microscopy to quantitatively characterize mitochondrial movement (rate and trajectory) in Arabidopsis thaliana mesophyll cells. Directional movement leading to long-distance migration occurred at high speed with a low angle-change rate, whereas wiggling leading to short-distance migration occurred at low speed with a high angle-change rate. The mean square displacement (MSD) analysis could separate these two movements. Directional movement was dependent on filamentous actin (F-actin), whereas mitochondrial wiggling was not, but slightly influenced by F-actin. In mesophyll cells, mitochondria could migrate by wiggling, and most of these mitochondria associated with chloroplasts. Thus, mitochondria migrate via F-actin-independent wiggling under the influence of F-actin during their association with chloroplasts in Arabidopsis. Oikawa et al. investigate the rate and trajectory of mitochondria in Arabidopsis thaliana mesophyll cells, using confocal laser-scanning microscopy. They find that mitochondria migrate via wiggling during their association with chloroplasts, providing insights into how mitochondria-chloroplast interaction affects the movement of mitochondria.
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Affiliation(s)
- Kazusato Oikawa
- Department of Material Chemistry, Graduate School of Engineering, Kyoto University, Kyoto, Japan
| | - Takuto Imai
- Biomacromolecules Research Team, RIKEN Center for Sustainable Resource Science, Saitama, Japan
| | - Chonprakun Thagun
- Biomacromolecules Research Team, RIKEN Center for Sustainable Resource Science, Saitama, Japan
| | - Kiminori Toyooka
- Mass Spectrometry and Microscopy Unit, RIKEN Center for Sustainable Resource Science, Yokohama, Japan
| | - Takeshi Yoshizumi
- Biomacromolecules Research Team, RIKEN Center for Sustainable Resource Science, Saitama, Japan
| | - Kazuya Ishikawa
- Center for Bioscience Research and Education, Utsunomiya University, Utsunomiya, Japan
| | - Yutaka Kodama
- Biomacromolecules Research Team, RIKEN Center for Sustainable Resource Science, Saitama, Japan. .,Center for Bioscience Research and Education, Utsunomiya University, Utsunomiya, Japan.
| | - Keiji Numata
- Department of Material Chemistry, Graduate School of Engineering, Kyoto University, Kyoto, Japan. .,Biomacromolecules Research Team, RIKEN Center for Sustainable Resource Science, Saitama, Japan.
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34
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Iino T, Hashimoto K, Asai T, Kuchitsu K, Ozeki Y. Multicolour chemical imaging of plant tissues with hyperspectral stimulated Raman scattering microscopy. Analyst 2021; 146:1234-1238. [PMID: 33355541 DOI: 10.1039/d0an02181d] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Recent development of stimulated Raman scattering (SRS) microscopy allows for label-free biological imaging with chemical specificity based on molecular-vibrational signatures. In particular, hyperspectral SRS imaging can acquire a molecular-vibrational spectrum at each pixel, allowing us not only to investigate the spectral difference of various biological molecules but also to discriminate different constituents based on their spectral difference. However, the number of constituents discriminated in previous label-free SRS imaging was limited to four because of the subtleness of spectral difference. Here, we report hyperspectral SRS imaging of plant tissues including leaves of Camellia japonica, roots of Arabidopsis thaliana, and thalli of a liverwort Marchantia polymorpha L. We show that SRS can discriminate as many as six components in Marchantia polymorpha L. without labeling. Our results demonstrate the effectiveness of hyperspectral SRS imaging as a tool for label-free multicolour imaging analysis of various biomolecules in plant tissues.
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Affiliation(s)
- Takanori Iino
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan.
| | - Kenji Hashimoto
- Department of Applied Biological Science, Tokyo University of Science, Noda 278-8510, Japan. and Imaging Frontier Center, Tokyo University of Science, Noda 278-8510, Japan
| | - Takuya Asai
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan.
| | - Kazuyuki Kuchitsu
- Department of Applied Biological Science, Tokyo University of Science, Noda 278-8510, Japan. and Imaging Frontier Center, Tokyo University of Science, Noda 278-8510, Japan
| | - Yasuyuki Ozeki
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan.
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35
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Yamaguchi S, Takagi R, Hosogane T, Ohashi Y, Sakai Y, Sakakihara S, Iino R, Tabata KV, Noji H, Okamoto A. Single Cell Array Enclosed with a Photodegradable Hydrogel in Microwells for Image-Based Cell Classification and Selective Photorelease of Cells. ACS APPLIED BIO MATERIALS 2020; 3:5887-5895. [PMID: 35021817 DOI: 10.1021/acsabm.0c00583] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Single cell arrays provide an accurate classification of analyte cells through an image-based analysis of cellular phenotypes. Light-guided cell retrieval from a single cell array is a promising approach for the rapid and simple sorting of difficult to distinguish cells. In this study, we developed a single cell array enclosed with a photodegradable hydrogel in microwells to enable both comprehensive image-based single cell analysis and light-guided cell retrieval. In this system, individual cells became trapped in the microwells together with the photodegradable hydrogel at a high cell density on a chip regardless of cell type, adhesiveness, and motility. Fluorescence-stained model cells and vaccinated dendritic cells were identified by microscopic imaging and then selectively released through the light-induced degradation of the cell-embedding hydrogels. The target cells were selectively retrieved with a purity of >95% from the cell mixture through rapid photorelease, and the retrieved cells were confirmed to grow normally. Our results provide proof-of-principle that the photoresponsive microwell array serves as a versatile tool for image-based cell sorting in cellular researches and the manufacturing processes of high-performance cells.
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Affiliation(s)
- Satoshi Yamaguchi
- Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan.,PRESTO, Japan Science and Technology Agency, 4-1-8 Hon-cho, Kawaguchi, Saitama 351-0198, Japan
| | - Risa Takagi
- Department of Chemistry and Biotechnology, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Tsuyoshi Hosogane
- Department of Chemistry and Biotechnology, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Yuki Ohashi
- Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan
| | - Yoko Sakai
- Department of Chemistry and Biotechnology, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Shouichi Sakakihara
- The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan
| | - Ryota Iino
- Institute for Molecular Science, 5-1 Higashiyama, Myodaiji, Okazaki 444-8787, Japan
| | - Kazuhito V Tabata
- Department of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Hiroyuki Noji
- Department of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Akimitsu Okamoto
- Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan.,Department of Chemistry and Biotechnology, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
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36
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Abstract
The advent of image-activated cell sorting and imaging-based cell picking has advanced our knowledge and exploitation of biological systems in the last decade. Unfortunately, they generally rely on fluorescent labeling for cellular phenotyping, an indirect measure of the molecular landscape in the cell, which has critical limitations. Here we demonstrate Raman image-activated cell sorting by directly probing chemically specific intracellular molecular vibrations via ultrafast multicolor stimulated Raman scattering (SRS) microscopy for cellular phenotyping. Specifically, the technology enables real-time SRS-image-based sorting of single live cells with a throughput of up to ~100 events per second without the need for fluorescent labeling. To show the broad utility of the technology, we show its applicability to diverse cell types and sizes. The technology is highly versatile and holds promise for numerous applications that are previously difficult or undesirable with fluorescence-based technologies. Most current cell sorting methods are based on fluorescence detection with no imaging capability. Here the authors generate and use Raman image-activated cell sorting with a throughput of around 100 events per second, providing molecular images with no need for labeling.
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37
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Kim S, Lee D, Lim D, Lim S, Park S, Kang C, Yu J, Lee T. Paramylon production from heterotrophic cultivation of Euglena gracilis in two different industrial byproducts: Corn steep liquor and brewer's spent grain. ALGAL RES 2020. [DOI: 10.1016/j.algal.2020.101826] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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38
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Hiramatsu K, Yamada K, Lindley M, Suzuki K, Goda K. Large-scale label-free single-cell analysis of paramylon in Euglena gracilis by high-throughput broadband Raman flow cytometry. BIOMEDICAL OPTICS EXPRESS 2020; 11:1752-1759. [PMID: 32341845 PMCID: PMC7173913 DOI: 10.1364/boe.382957] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 02/08/2020] [Accepted: 02/24/2020] [Indexed: 06/11/2023]
Abstract
Microalga-based biomaterial production has attracted attention as a new source of drugs, foods, and biofuels. For enhancing the production efficiency, it is essential to understand its differences between heterogeneous microalgal subpopulations. However, existing techniques are not adequate to address the need due to the lack of single-cell resolution or the inability to perform large-scale analysis and detect small molecules. Here we demonstrated large-scale single-cell analysis of Euglena gracilis (a unicellular microalgal species that produces paramylon as a potential drug for HIV and colon cancer) with our recently developed high-throughput broadband Raman flow cytometer at a throughput of >1,000 cells/s. Specifically, we characterized the intracellular content of paramylon from single-cell Raman spectra of 10,000 E. gracilis cells cultured under five different conditions and found that paramylon contents in E. gracilis cells cultured in an identical condition is given by a log-normal distribution, which is a good model for describing the number of chemicals in a reaction network. The capability of characterizing distribution functions in a label-free manner is an important basis for isolating specific cell populations for synthetic biology via directed evolution based on the intracellular content of metabolites.
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Affiliation(s)
- Kotaro Hiramatsu
- Department of Chemistry, The University of Tokyo, Tokyo 113-0033, Japan
- Research Centre for Spectrochemistry, The University of Tokyo, Tokyo 113-0033, Japan
- PRESTO, Japan Science and Technology Agency, Saitama 332-0012, Japan
| | | | - Matthew Lindley
- Department of Chemistry, The University of Tokyo, Tokyo 113-0033, Japan
| | - Kengo Suzuki
- euglena Co., Ltd., Tokyo 108-0014, Japan
- Microalgae Production Control Technology Laboratory, RIKEN, Kanagawa, 230-0045, Japan
| | - Keisuke Goda
- Department of Chemistry, The University of Tokyo, Tokyo 113-0033, Japan
- Department of Bioengineering, University of California, Los Angeles, California 90095, USA
- Institute of Technological Sciences, Wuhan University, Hubei 430072, China
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39
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Mikami H, Kawaguchi M, Huang CJ, Matsumura H, Sugimura T, Huang K, Lei C, Ueno S, Miura T, Ito T, Nagasawa K, Maeno T, Watarai H, Yamagishi M, Uemura S, Ohnuki S, Ohya Y, Kurokawa H, Matsusaka S, Sun CW, Ozeki Y, Goda K. Virtual-freezing fluorescence imaging flow cytometry. Nat Commun 2020; 11:1162. [PMID: 32139684 PMCID: PMC7058616 DOI: 10.1038/s41467-020-14929-2] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 02/06/2020] [Indexed: 01/07/2023] Open
Abstract
By virtue of the combined merits of flow cytometry and fluorescence microscopy, imaging flow cytometry (IFC) has become an established tool for cell analysis in diverse biomedical fields such as cancer biology, microbiology, immunology, hematology, and stem cell biology. However, the performance and utility of IFC are severely limited by the fundamental trade-off between throughput, sensitivity, and spatial resolution. Here we present an optomechanical imaging method that overcomes the trade-off by virtually freezing the motion of flowing cells on the image sensor to effectively achieve 1000 times longer exposure time for microscopy-grade fluorescence image acquisition. Consequently, it enables high-throughput IFC of single cells at >10,000 cells s−1 without sacrificing sensitivity and spatial resolution. The availability of numerous information-rich fluorescence cell images allows high-dimensional statistical analysis and accurate classification with deep learning, as evidenced by our demonstration of unique applications in hematology and microbiology. High throughput imaging flow cytometry suffers from trade-offs between throughput, sensitivity and spatial resolution. Here the authors introduce a method to virtually freeze cells in the image acquisition window to enable 1000 times longer signal integration time and improve signal-to-noise ratio.
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Affiliation(s)
- Hideharu Mikami
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
| | - Makoto Kawaguchi
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Chun-Jung Huang
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.,Department of Photonics, National Chiao Tung University, Hsinchu, 300, Taiwan
| | - Hiroki Matsumura
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Takeaki Sugimura
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.,Japan Science and Technology Agency, Saitama, 332-0012, Japan.,CYBO, Tokyo, 101-0022, Japan
| | - Kangrui Huang
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Cheng Lei
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Shunnosuke Ueno
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Taichi Miura
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Takuro Ito
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.,Japan Science and Technology Agency, Saitama, 332-0012, Japan
| | - Kazumichi Nagasawa
- Center for Stem Cell Biology and Regenerative Medicine, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Takanori Maeno
- Center for Stem Cell Biology and Regenerative Medicine, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Hiroshi Watarai
- Center for Stem Cell Biology and Regenerative Medicine, The University of Tokyo, Tokyo, 108-8639, Japan.,Department of Immunology and Stem Cell Biology, Faculty of Medicine, Kanazawa University, Ishikawa, 920-8640, Japan
| | - Mai Yamagishi
- Department of Biological Sciences, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Sotaro Uemura
- Department of Biological Sciences, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Shinsuke Ohnuki
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, 277-8562, Japan
| | - Yoshikazu Ohya
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, 277-8562, Japan.,AIST-UTokyo Advanced Operando-Measurement Technology Open Innovation Laboratory (OPERANDO-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Chiba, 277-8565, Japan
| | - Hiromi Kurokawa
- Department of Clinical Research and Regional Innovation, Faculty of Medicine, University of Tsukuba, Ibaraki, 305-8577, Japan
| | - Satoshi Matsusaka
- Department of Clinical Research and Regional Innovation, Faculty of Medicine, University of Tsukuba, Ibaraki, 305-8577, Japan.,Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, 135-8550, Japan
| | - Chia-Wei Sun
- Department of Photonics, National Chiao Tung University, Hsinchu, 300, Taiwan
| | - Yasuyuki Ozeki
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo, 113-8656, Japan.
| | - Keisuke Goda
- Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan. .,Japan Science and Technology Agency, Saitama, 332-0012, Japan. .,Institute of Technological Sciences, Wuhan University, Hubei, 430072, China. .,Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.
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40
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Kim JY, Oh JJ, Kim DH, Park J, Kim HS, Choi YE. Rapid and Accurate Quantification of Paramylon Produced from Euglena gracilis Using an ssDNA Aptamer. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2020; 68:402-408. [PMID: 31809034 DOI: 10.1021/acs.jafc.9b04588] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The functional ingredients of microalgal biomass are receiving substantial recognition as the global demands for health supplements produced from natural sources are on the rise. Paramylon, a conglomerate of β-1,3-glucans, is one of the major valuable sources derived from Euglena gracilis having multiple applications, thus necessitating the development of an efficient quantification method. Here, we employed a DNA aptamer to quantify the amount of paramylon produced by E. gracilis. Paramylon-specific aptamers were isolated by the systematic evolution of ligands by exponential enrichment (SELEX) process. To evaluate the potential aptamers, the binding affinity between aptamer candidates and paramylon granules was confirmed by a confocal laser scanning microscope and the dissociation constants of the selected aptamers were determined by nonlinear regression analysis. The selected DNA aptamer was successfully used for the quantification of paramylon, and the results were compared to those obtained by the standard methods. The new approach was also used for quantification of paramylon from E. gracilis cells cultured to different cell stages and physiologies. It can be concluded that the aptamer-based protocol for the measurement of paramylon proposed in this study is highly accurate and comparatively less time-consuming.
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Affiliation(s)
- Jee Young Kim
- Division of Environmental Science & Ecological Engineering , Korea University , Seoul 02841 , Korea
| | - Jeong-Joo Oh
- Division of Environmental Science & Ecological Engineering , Korea University , Seoul 02841 , Korea
| | - Da Hee Kim
- Division of Environmental Science & Ecological Engineering , Korea University , Seoul 02841 , Korea
| | - Jaewon Park
- Department of Electrical and Electronic Engineering , Southern University of Science and Technology , Shenzhen 518055 , China
| | - Hyun Soo Kim
- Korea Institute of Machinery and Materials , Daegu Research Center for Medical Devices and Rehabilitation , Daegu 42994 , Korea
| | - Yoon-E Choi
- Division of Environmental Science & Ecological Engineering , Korea University , Seoul 02841 , Korea
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41
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Yonamine Y, Hiramatsu K, Ideguchi T, Ito T, Fujiwara T, Miura Y, Goda K, Hoshino Y. Spatiotemporal monitoring of intracellular metabolic dynamics by resonance Raman microscopy with isotope labeling. RSC Adv 2020; 10:16679-16686. [PMID: 35498863 PMCID: PMC9053077 DOI: 10.1039/d0ra02803g] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 04/20/2020] [Indexed: 01/18/2023] Open
Abstract
We probed production process of a cellular metabolite with a stable isotope-labeled substrate exposed to various conditions.
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Affiliation(s)
- Yusuke Yonamine
- Research Institute for Electronic Science
- Hokkaido University
- Sapporo 001-0021
- Japan
| | - Kotaro Hiramatsu
- Department of Chemistry
- The University of Tokyo
- Tokyo 113-0033
- Japan
- Research Centre for Spectrochemistry
| | - Takuro Ideguchi
- Research Centre for Spectrochemistry
- The University of Tokyo
- Tokyo 113-0033
- Japan
- PRESTO
| | - Takuro Ito
- Japan Science and Technology Agency
- Kawaguchi-shi
- Japan
| | - Tomomi Fujiwara
- Department of Chemical Engineering
- Kyushu University
- Fukuoka 819-0395
- Japan
| | - Yoshiko Miura
- Department of Chemical Engineering
- Kyushu University
- Fukuoka 819-0395
- Japan
| | - Keisuke Goda
- Department of Chemistry
- The University of Tokyo
- Tokyo 113-0033
- Japan
- Japan Science and Technology Agency
| | - Yu Hoshino
- Department of Chemical Engineering
- Kyushu University
- Fukuoka 819-0395
- Japan
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42
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Ramanome technology platform for label-free screening and sorting of microbial cell factories at single-cell resolution. Biotechnol Adv 2019; 37:107388. [DOI: 10.1016/j.biotechadv.2019.04.010] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 04/08/2019] [Accepted: 04/23/2019] [Indexed: 01/09/2023]
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43
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Hu F, Shi L, Min W. Biological imaging of chemical bonds by stimulated Raman scattering microscopy. Nat Methods 2019; 16:830-842. [PMID: 31471618 DOI: 10.1038/s41592-019-0538-0] [Citation(s) in RCA: 149] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 07/23/2019] [Indexed: 12/15/2022]
Abstract
All molecules consist of chemical bonds, and much can be learned from mapping the spatiotemporal dynamics of these bonds. Since its invention a decade ago, stimulated Raman scattering (SRS) microscopy has become a powerful modality for imaging chemical bonds with high sensitivity, resolution, speed and specificity. We introduce the fundamentals of SRS microscopy and review innovations in SRS microscopes and imaging probes. We highlight examples of exciting biological applications, and share our vision for potential future breakthroughs for this technology.
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Affiliation(s)
- Fanghao Hu
- Department of Chemistry, Columbia University, New York, NY, USA
| | - Lixue Shi
- Department of Chemistry, Columbia University, New York, NY, USA
| | - Wei Min
- Department of Chemistry, Columbia University, New York, NY, USA. .,Kavli Institute for Brain Science, Columbia University, New York, NY, USA.
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44
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Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering. Proc Natl Acad Sci U S A 2019; 116:15842-15848. [PMID: 31324741 PMCID: PMC6690022 DOI: 10.1073/pnas.1902322116] [Citation(s) in RCA: 89] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Imaging flow cytometry is a powerful tool for analyzing every single cell in a large heterogeneous population but relies on fluorescent labeling, which comes with cytotoxicity, nonspecific binding, and interference with natural cellular functions. This paper presents label-free multicolor chemical imaging flow cytometry based on stimulated Raman scattering (SRS), a highly sensitive method of molecular vibrational spectroscopy. With the help of deep learning, it demonstrates high-precision characterization and classification of microalgal cells and cancer cells without the need for fluorescent labeling. Combining the strength of flow cytometry with fluorescence imaging and digital image analysis, imaging flow cytometry is a powerful tool in diverse fields including cancer biology, immunology, drug discovery, microbiology, and metabolic engineering. It enables measurements and statistical analyses of chemical, structural, and morphological phenotypes of numerous living cells to provide systematic insights into biological processes. However, its utility is constrained by its requirement of fluorescent labeling for phenotyping. Here we present label-free chemical imaging flow cytometry to overcome the issue. It builds on a pulse pair-resolved wavelength-switchable Stokes laser for the fastest-to-date multicolor stimulated Raman scattering (SRS) microscopy of fast-flowing cells on a 3D acoustic focusing microfluidic chip, enabling an unprecedented throughput of up to ∼140 cells/s. To show its broad utility, we use the SRS imaging flow cytometry with the aid of deep learning to study the metabolic heterogeneity of microalgal cells and perform marker-free cancer detection in blood.
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45
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Abstract
Cellular imaging is an active area of research that enables researchers to monitor cellular dynamics, as well as responses to various external stimuli (physiological stress, exogenous compounds, etc.). Stimulated Raman scattering (SRS) microscopy is one popular experimental tool used to image cells, largely because of its chemical specificity, high spatial resolution, and high image acquisition speed. In this Perspective, the theoretical background and experimental implementation of SRS microscopy are discussed and recent developments in the field of cellular imaging with SRS are highlighted and summarized.
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Affiliation(s)
- Andrew H Hill
- Department of Chemistry , University of Washington , Seattle , Washington 98195 , United States
| | - Dan Fu
- Department of Chemistry , University of Washington , Seattle , Washington 98195 , United States
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46
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Ota N, Yonamine Y, Asai T, Yalikun Y, Ito T, Ozeki Y, Hoshino Y, Tanaka Y. Isolating Single Euglena gracilis Cells by Glass Microfluidics for Raman Analysis of Paramylon Biogenesis. Anal Chem 2019; 91:9631-9639. [DOI: 10.1021/acs.analchem.9b01007] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Nobutoshi Ota
- Center for Biosystems Dynamics Research, RIKEN, Suita, Osaka 565-0871, Japan
| | - Yusuke Yonamine
- Research Institute for Electronic Science, Hokkaido University, Sapporo, Hokkaido 001-0021, Japan
| | - Takuya Asai
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan
| | - Yaxiaer Yalikun
- Center for Biosystems Dynamics Research, RIKEN, Suita, Osaka 565-0871, Japan
| | - Takuro Ito
- Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan
- Department of Chemistry, School of Science, The University of Tokyo, Tokyo 113-0033, Japan
| | - Yasuyuki Ozeki
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan
| | - Yu Hoshino
- Department of Chemistry, Kyushu University, Fukuoka 819-0395, Japan
| | - Yo Tanaka
- Center for Biosystems Dynamics Research, RIKEN, Suita, Osaka 565-0871, Japan
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47
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Czechowska K, Tárnok A. New on the block: The workshop reports. Cytometry A 2019; 95:595-597. [PMID: 31207047 DOI: 10.1002/cyto.a.23800] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 05/20/2019] [Indexed: 12/13/2022]
Affiliation(s)
| | - Attila Tárnok
- Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.,Department of Therapy Validation, Fraunhofer Institute for Cell Therapy and Immunology IZI, Leipzig, Germany.,Department of Precision Instrument, Tsinghua University, Beijing, China
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48
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Iwasaki K, Kaneko A, Tanaka Y, Ishikawa T, Noothalapati H, Yamamoto T. Visualizing wax ester fermentation in single Euglena gracilis cells by Raman microspectroscopy and multivariate curve resolution analysis. BIOTECHNOLOGY FOR BIOFUELS 2019; 12:128. [PMID: 31139258 PMCID: PMC6529988 DOI: 10.1186/s13068-019-1471-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 05/16/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Global demand for energy is on the rise at a time when limited natural resources are fast depleting. To address this issue, microalgal biofuels are being recommended as a renewable and eco-friendly substitute for fossil fuels. Euglena gracilis is one such candidate that has received special interest due to their ability to synthesize wax esters that serve as precursors for production of drop-in jet fuel. However, to realize economic viability and achieve industrial-scale production, development of novel methods to characterize algal cells, evaluate its culture conditions, and construct appropriate genetically modified strains is necessary. Here, we report a Raman microspectroscopy-based method to visualize important metabolites such as paramylon and ester during wax ester fermentation in single Euglena gracilis cells in a label-free manner. RESULTS We measured Raman spectra to obtain intracellular biomolecular information in Euglena under anaerobic condition. First, by univariate approach, we identified Raman markers corresponding to paramylon/esters and constructed their time-lapse chemical images. However, univariate analysis is severely limited in its ability to obtain detailed information as several molecules can contribute to a Raman band. Therefore, we further employed multivariate curve resolution analysis to obtain chain length-specific information and their abundance images of the produced esters. Accumulated esters in Euglena were particularly identified to be myristyl myristate (C28), a wax ester candidate suitable to prepare drop-in jet fuel. Interestingly, we found accumulation of two different forms of myristyl myristate for the first time in Euglena through our exploratory multivariate analysis. CONCLUSIONS We succeeded in visualizing molecular-specific information in Euglena during wax ester fermentation by Raman microspectroscopy. It is obvious from our results that simple univariate approach is insufficient and that multivariate curve resolution analysis is crucial to extract hidden information from Raman spectra. Even though we have not measured any mutants in this study, our approach is directly applicable to other systems and is expected to deepen the knowledge on lipid metabolism in microalgae, which eventually leads to new strategies that will help to enhance biofuel production efficiency in the future.
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Affiliation(s)
- Keita Iwasaki
- The United Graduate School of Agricultural Sciences, Tottori University, Tottori, 680-8550 Japan
| | - Asuka Kaneko
- Faculty of Life and Environmental Science, Shimane University, Matsue, 690-8504 Japan
| | - Yuji Tanaka
- Faculty of Life and Environmental Science, Shimane University, Matsue, 690-8504 Japan
- Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency (JST), Kawaguchi, 332-0012 Japan
| | - Takahiro Ishikawa
- Faculty of Life and Environmental Science, Shimane University, Matsue, 690-8504 Japan
- Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency (JST), Kawaguchi, 332-0012 Japan
| | - Hemanth Noothalapati
- Raman Project Center for Medical and Biological Applications, Shimane University, Matsue, 690-8504 Japan
| | - Tatsuyuki Yamamoto
- Faculty of Life and Environmental Science, Shimane University, Matsue, 690-8504 Japan
- Raman Project Center for Medical and Biological Applications, Shimane University, Matsue, 690-8504 Japan
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49
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Yamashita K, Yagi T, Isono T, Nishiyama Y, Hashimoto M, Yamada K, Suzuki K, Tokunaga E. Absorbance spectra of the hematochrome-like granules and eyespot of Euglena gracilis by scan-free absorbance spectral imaging A(x, y, λ) within the live cells. JOURNAL OF PLANT RESEARCH 2019; 132:431-438. [PMID: 30980216 DOI: 10.1007/s10265-019-01102-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 03/10/2019] [Indexed: 06/09/2023]
Abstract
Euglena gracilis has an organelle resembling hematochrome, with an appearance similar to the eyespot and the absorption band spectrally overlapped with that of the carotenoid. To discriminate the hematochrome-like granules and eyespot, scan-free, non-invasive, absorbance spectral imaging A(x, y, λ) microscopy of single live cells, where A(x, y, λ) means absorbance at a position (x, y) on a two-dimensional image at a specific wavelength λ was applied. This technique was demonstrated to be a powerful tool for basic research on intracellular structural analysis. By this method, characteristic absorption spectra specific to the hematochrome-like granule or eyespot were identified among a variety of spectra observed depending on the location inside the organelles. The hematochrome-like granule was dark orange and deep green in its outline and had a characteristic absorption peak at 620 nm as well as at 676 to 698 nm, suggesting that its origin is a component of chloroplast including chlorophyll a. Furthermore, the representative spectra of these organelles were derived by principal component analysis of the absorbance and its position in absorbance image, indicating that they can be distinguished from each other and other regions. It was also confirmed that even in areas where these organelles and chloroplasts overlap, one can distinguish them from each other. The present research clarified the absorption spectra of the eyespot with 1 × 1 µm spatial resolution and those unpublished of hematochrome-like granules of E. gracilis, and indicated that one can statistically distinguish these organelles by this method.
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Affiliation(s)
- Kyohei Yamashita
- Department of Physics, Faculty of Science, Tokyo University of Science, Shinjuku-ku, Tokyo, Japan
| | - Takafumi Yagi
- Department of Physics, Faculty of Science, Tokyo University of Science, Shinjuku-ku, Tokyo, Japan
| | - Takumi Isono
- Department of Physics, Faculty of Science, Tokyo University of Science, Shinjuku-ku, Tokyo, Japan
| | - Yusuke Nishiyama
- Department of Physics, Faculty of Science, Tokyo University of Science, Shinjuku-ku, Tokyo, Japan
| | - Masafumi Hashimoto
- Department of Physics, Faculty of Science, Tokyo University of Science, Shinjuku-ku, Tokyo, Japan
| | - Koji Yamada
- euglena Co., Ltd., Yokohama-shi, Kanagawa, Japan
| | - Kengo Suzuki
- euglena Co., Ltd., Yokohama-shi, Kanagawa, Japan
| | - Eiji Tokunaga
- Department of Physics, Faculty of Science, Tokyo University of Science, Shinjuku-ku, Tokyo, Japan.
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Seto K, Yamada H, Kobayashi T, Tokunaga E. Demonstration of wavelength-scan-free action spectroscopy in pump/probe measurement with supercontinuum pump light. OPTICS EXPRESS 2019; 27:6976-6995. [PMID: 30876272 DOI: 10.1364/oe.27.006976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 02/10/2019] [Indexed: 06/09/2023]
Abstract
We devise and introduce the principle of wavelength-scan-free spectroscopy for the pump light in pump/probe measurement (action spectroscopy) using supercontinuum light; we demonstrate its implementation by measuring transmission spectra. We use the supercontinuum light noise as a code in order to discriminate wavelength. We extract the stimulation at the desired wavelength by correlating the noise at that wavelength observed separately and the observed total stimulation carried by the probe light. The wavelength-scan-free spectroscopy is enabled with a simultaneous procedure for multiple wavelengths.
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