1
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Ma L, Luo K, Liu Z, Ji M. Stain-Free Histopathology with Stimulated Raman Scattering Microscopy. Anal Chem 2024; 96:7907-7925. [PMID: 38713830 DOI: 10.1021/acs.analchem.4c02061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/09/2024]
Affiliation(s)
- Liyang Ma
- State Key Laboratory of Surface Physics and Department of Physics, Academy for Engineering and Technology, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Shanghai Key Laboratory of Metasurfaces for Light Manipulation, Fudan University, Shanghai 200433, China
| | - Kuan Luo
- State Key Laboratory of Surface Physics and Department of Physics, Academy for Engineering and Technology, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Shanghai Key Laboratory of Metasurfaces for Light Manipulation, Fudan University, Shanghai 200433, China
| | - Zhijie Liu
- State Key Laboratory of Surface Physics and Department of Physics, Academy for Engineering and Technology, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Shanghai Key Laboratory of Metasurfaces for Light Manipulation, Fudan University, Shanghai 200433, China
| | - Minbiao Ji
- State Key Laboratory of Surface Physics and Department of Physics, Academy for Engineering and Technology, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Shanghai Key Laboratory of Metasurfaces for Light Manipulation, Fudan University, Shanghai 200433, China
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2
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Bai Y, Camargo CM, Glasauer SMK, Gifford R, Tian X, Longhini AP, Kosik KS. Single-cell mapping of lipid metabolites using an infrared probe in human-derived model systems. Nat Commun 2024; 15:350. [PMID: 38191490 PMCID: PMC10774263 DOI: 10.1038/s41467-023-44675-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 12/20/2023] [Indexed: 01/10/2024] Open
Abstract
Understanding metabolic heterogeneity is the key to uncovering the underlying mechanisms of metabolic-related diseases. Current metabolic imaging studies suffer from limitations including low resolution and specificity, and the model systems utilized often lack human relevance. Here, we present a single-cell metabolic imaging platform to enable direct imaging of lipid metabolism with high specificity in various human-derived 2D and 3D culture systems. Through the incorporation of an azide-tagged infrared probe, selective detection of newly synthesized lipids in cells and tissue became possible, while simultaneous fluorescence imaging enabled cell-type identification in complex tissues. In proof-of-concept experiments, newly synthesized lipids were directly visualized in human-relevant model systems among different cell types, mutation status, differentiation stages, and over time. We identified upregulated lipid metabolism in progranulin-knockdown human induced pluripotent stem cells and in their differentiated microglia cells. Furthermore, we observed that neurons in brain organoids exhibited a significantly lower lipid metabolism compared to astrocytes.
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Affiliation(s)
- Yeran Bai
- Neuroscience Research Institute, Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA.
- Photothermal Spectroscopy Corp., Santa Barbara, CA, USA.
| | - Carolina M Camargo
- Neuroscience Research Institute, Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Stella M K Glasauer
- Neuroscience Research Institute, Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Raymond Gifford
- Neuroscience Research Institute, Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Xinran Tian
- Neuroscience Research Institute, Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Andrew P Longhini
- Neuroscience Research Institute, Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA
| | - Kenneth S Kosik
- Neuroscience Research Institute, Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, USA.
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3
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Jiang Z, Wang X, Chu K, Smith ZJ. Fast Raman imaging through the combination of context-aware matrix completion and low spectral resolution. Analyst 2023; 148:4710-4720. [PMID: 37622207 DOI: 10.1039/d3an00997a] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
Raman hyperspectral imaging is an effective method for label-free imaging with chemical specificity, yet the weak signals and correspondingly long integration times have hindered its wide adoption as a routine analytical method. Recently, low resolution Raman imaging has been proposed to improve the spectral signal-to-noise ratio, which significantly improves the speed of Raman imaging. In this paper, low resolution Raman spectroscopy is combined with "context-aware" matrix completion, where regions of the sample that are not of interest are skipped, and the regions that are measured are under-sampled, then reconstructed with a low-rank constraint. Both simulations and experiment show that low-resolution Raman boosts the speed and image quality of the computationally-reconstructed Raman images, allowing deeper sub-sampling, reduced exposure time, and an overall >10-fold improvement in imaging speed, without sacrificing chemical specificity or spatial image quality. As the method utilizes traditional point-scan imaging, it retains full confocality and is "backwards-compatible" with pre-existing traditional Raman instruments, broadening the potential scope of Raman imaging applications.
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Affiliation(s)
- Ziling Jiang
- University of Science and Technology of China, Department of Precision Machinery & Precision Instrumentation, Hefei, Anhui, China 230027.
| | - Xianli Wang
- University of Science and Technology of China, Department of Precision Machinery & Precision Instrumentation, Hefei, Anhui, China 230027.
| | - Kaiqin Chu
- University of Science and Technology of China, Suzhou Institute for Advanced Research, Suzhou, Jiangsu, China 215123
| | - Zachary J Smith
- University of Science and Technology of China, Department of Precision Machinery & Precision Instrumentation, Hefei, Anhui, China 230027.
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4
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Yin J, Zhang M, Tan Y, Guo Z, He H, Lan L, Cheng JX. Video-rate mid-infrared photothermal imaging by single-pulse photothermal detection per pixel. SCIENCE ADVANCES 2023; 9:eadg8814. [PMID: 37315131 DOI: 10.1126/sciadv.adg8814] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 05/09/2023] [Indexed: 06/16/2023]
Abstract
By optically sensing absorption-induced photothermal effect, mid-infrared (IR) photothermal (MIP) microscope enables super-resolution IR imaging of biological systems in water. However, the speed of current sample-scanning MIP system is limited to milliseconds per pixel, which is insufficient for capturing living dynamics. By detecting the transient photothermal signal induced by a single IR pulse through fast digitization, we report a laser-scanning MIP microscope that increases the imaging speed by three orders of magnitude. To realize single-pulse photothermal detection, we use synchronized galvo scanning of both mid-IR and probe beams to achieve an imaging line rate of more than 2 kilohertz. With video-rate speed, we observed the dynamics of various biomolecules in living organisms at multiple scales. Furthermore, by using hyperspectral imaging, we chemically dissected the layered ultrastructure of fungal cell wall. Last, with a uniform field of view more than 200 by 200 square micrometer, we mapped fat storage in free-moving Caenorhabditis elegans and live embryos.
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Affiliation(s)
- Jiaze Yin
- Department of Electrical & Computer Engineering, Boston University, Boston, MA 02215, USA
| | - Meng Zhang
- Department of Electrical & Computer Engineering, Boston University, Boston, MA 02215, USA
| | - Yuying Tan
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - Zhongyue Guo
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - Hongjian He
- Department of Electrical & Computer Engineering, Boston University, Boston, MA 02215, USA
| | - Lu Lan
- Department of Electrical & Computer Engineering, Boston University, Boston, MA 02215, USA
| | - Ji-Xin Cheng
- Department of Electrical & Computer Engineering, Boston University, Boston, MA 02215, USA
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
- Photonics Center, Boston University, Boston, MA 02215, USA
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5
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Zhang Y, Zhou Y, Fang W, Zhu H, Ye C, Zhang D, Lee HJ. Spatial sterol metabolism unveiled by stimulated Raman imaging. Front Chem 2023; 11:1166313. [PMID: 37065823 PMCID: PMC10090450 DOI: 10.3389/fchem.2023.1166313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 03/13/2023] [Indexed: 03/30/2023] Open
Abstract
Graphical AbstractHigh-resolution stimulated Raman scattering (SRS) imaging of a genetically engineered model (GEM) enables metabolite imaging in a yeast model and uncovers an unexpected regulatory mechanism of sterol metabolism, providing new insights underpinning the distributional and functional importance of sterol in cells. SRS-GEM demonstrates a promising platform to explore unknown metabolic mechanisms beyond the reach of conventional approaches.
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Affiliation(s)
- Yongqing Zhang
- Zhejiang Province Key Laboratory of Quantum Technology and Device, Department of Physics, Interdisciplinary Centre for Quantum Information, Zhejiang University, Hangzhou, China
| | - Yihui Zhou
- Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Wen Fang
- Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China
| | - Hanlin Zhu
- Zhejiang Province Key Laboratory of Quantum Technology and Device, Department of Physics, Interdisciplinary Centre for Quantum Information, Zhejiang University, Hangzhou, China
| | - Cunqi Ye
- Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China
- *Correspondence: Cunqi Ye, ; Delong Zhang, ; Hyeon Jeong Lee,
| | - Delong Zhang
- Zhejiang Province Key Laboratory of Quantum Technology and Device, Department of Physics, Interdisciplinary Centre for Quantum Information, Zhejiang University, Hangzhou, China
- *Correspondence: Cunqi Ye, ; Delong Zhang, ; Hyeon Jeong Lee,
| | - Hyeon Jeong Lee
- Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
- *Correspondence: Cunqi Ye, ; Delong Zhang, ; Hyeon Jeong Lee,
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6
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Cialla-May D, Krafft C, Rösch P, Deckert-Gaudig T, Frosch T, Jahn IJ, Pahlow S, Stiebing C, Meyer-Zedler T, Bocklitz T, Schie I, Deckert V, Popp J. Raman Spectroscopy and Imaging in Bioanalytics. Anal Chem 2021; 94:86-119. [PMID: 34920669 DOI: 10.1021/acs.analchem.1c03235] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Dana Cialla-May
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany.,InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
| | - Christoph Krafft
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Petra Rösch
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Tanja Deckert-Gaudig
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Torsten Frosch
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Izabella J Jahn
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Susanne Pahlow
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany.,InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
| | - Clara Stiebing
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Tobias Meyer-Zedler
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Thomas Bocklitz
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Iwan Schie
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Ernst-Abbe-Hochschule Jena, University of Applied Sciences, Department of Biomedical Engineering and Biotechnology, Carl-Zeiss-Promenade 2, 07745 Jena, Germany
| | - Volker Deckert
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Jürgen Popp
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance - Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany.,InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
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7
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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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8
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Pence IJ, Evans CL. Translational biophotonics with Raman imaging: clinical applications and beyond. Analyst 2021; 146:6379-6393. [PMID: 34596653 PMCID: PMC8543123 DOI: 10.1039/d1an00954k] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 08/30/2021] [Indexed: 01/25/2023]
Abstract
Clinical medicine continues to seek novel rapid non-invasive tools capable of providing greater insight into disease progression and management. Raman scattering based technologies constitute a set of tools under continuing development to address outstanding challenges spanning diagnostic medicine, surgical guidance, therapeutic monitoring, and histopathology. Here we review the mechanisms and clinical applications of Raman scattering, specifically focusing on high-speed imaging methods that can provide spatial context for translational biomedical applications.
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Affiliation(s)
- Isaac J Pence
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
| | - Conor L Evans
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
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9
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Jayan H, Pu H, Sun DW. Recent developments in Raman spectral analysis of microbial single cells: Techniques and applications. Crit Rev Food Sci Nutr 2021; 62:4294-4308. [PMID: 34251940 DOI: 10.1080/10408398.2021.1945534] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The conventional microbial cell analyses are mostly population-averaged methods that conceal the characteristics of single-cell in the community. Single-cell analysis can provide information on the functional and structural variation of each cell, resulting in the elimination of long and tedious microbial cultivation techniques. Raman spectroscopy is a label-free, noninvasive, and in-vivo method ideal for single-cell measurement to obtain spatially resolved chemical information. In the current review, recent developments in Raman spectroscopic techniques for microbial characterization at the single-cell level are presented, focusing on Raman imaging of single cells to study the intracellular distribution of different components. The review also discusses the limitation and challenges of each technique and put forward some future outlook for improving Raman spectroscopy-based techniques for single-cell analysis. Raman spectroscopic methods at the single-cell level have potential in precision measurements, metabolic analysis, antibiotic susceptibility testing, resuscitation capability, and correlating phenotypic information to genomics for cells, the integration of Raman spectroscopy with other techniques such as microfluidics, stable isotope probing (SIP), and atomic force microscope can further improve the resolution and provide extensive information. Future focuses should be given to advance algorithms for data analysis, standardized reference libraries, and automated cell isolation techniques in future.
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Affiliation(s)
- Heera Jayan
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China.,Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510641, China.,Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, and Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
| | - Hongbin Pu
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China.,Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510641, China.,Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, and Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
| | - Da-Wen Sun
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China.,Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510641, China.,Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, and Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China.,Food Refrigeration and Computerized Food Technology (FRCFT), Agriculture and Food Science Centre, University College Dublin, National University of Ireland, Dublin 4, Ireland
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10
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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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11
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Lin H, Lee HJ, Tague N, Lugagne JB, Zong C, Deng F, Shin J, Tian L, Wong W, Dunlop MJ, Cheng JX. Microsecond fingerprint stimulated Raman spectroscopic imaging by ultrafast tuning and spatial-spectral learning. Nat Commun 2021; 12:3052. [PMID: 34031374 PMCID: PMC8144602 DOI: 10.1038/s41467-021-23202-z] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 03/29/2021] [Indexed: 12/21/2022] Open
Abstract
Label-free vibrational imaging by stimulated Raman scattering (SRS) provides unprecedented insight into real-time chemical distributions. Specifically, SRS in the fingerprint region (400-1800 cm-1) can resolve multiple chemicals in a complex bio-environment. However, due to the intrinsic weak Raman cross-sections and the lack of ultrafast spectral acquisition schemes with high spectral fidelity, SRS in the fingerprint region is not viable for studying living cells or large-scale tissue samples. Here, we report a fingerprint spectroscopic SRS platform that acquires a distortion-free SRS spectrum at 10 cm-1 spectral resolution within 20 µs using a polygon scanner. Meanwhile, we significantly improve the signal-to-noise ratio by employing a spatial-spectral residual learning network, reaching a level comparable to that with 100 times integration. Collectively, our system enables high-speed vibrational spectroscopic imaging of multiple biomolecules in samples ranging from a single live microbe to a tissue slice.
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Affiliation(s)
- Haonan Lin
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
- Photonics Center, Boston University, Boston, MA, USA
| | - Hyeon Jeong Lee
- Photonics Center, Boston University, Boston, MA, USA
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA
- College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou, PR China
| | - Nathan Tague
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | | | - Cheng Zong
- Photonics Center, Boston University, Boston, MA, USA
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA
| | - Fengyuan Deng
- Photonics Center, Boston University, Boston, MA, USA
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA
| | - Jonghyeon Shin
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Lei Tian
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA
| | - Wilson Wong
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
- Biological Design Center, Boston University, Boston, MA, USA
| | - Mary J Dunlop
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
- Biological Design Center, Boston University, Boston, MA, USA
| | - Ji-Xin Cheng
- Department of Biomedical Engineering, Boston University, Boston, MA, USA.
- Photonics Center, Boston University, Boston, MA, USA.
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA.
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12
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Hu C, Wang X, Liu L, Fu C, Chu K, Smith ZJ. Fast confocal Raman imaging via context-aware compressive sensing. Analyst 2021; 146:2348-2357. [PMID: 33624650 DOI: 10.1039/d1an00088h] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Raman hyperspectral imaging is a powerful method to obtain detailed chemical information about a wide variety of organic and inorganic samples noninvasively and without labels. However, due to the weak, nonresonant nature of spontaneous Raman scattering, acquiring a Raman imaging dataset is time-consuming and inefficient. In this paper we utilize a compressive imaging strategy coupled with a context-aware image prior to improve Raman imaging speed by 5- to 10-fold compared to classic point-scanning Raman imaging, while maintaining the traditional benefits of point scanning imaging, such as isotropic resolution and confocality. With faster data acquisition, large datasets can be acquired in reasonable timescales, leading to more reliable downstream analysis. On standard samples, context-aware Raman compressive imaging (CARCI) was able to reduce the number of measurements by ∼85% while maintaining high image quality (SSIM >0.85). Using CARCI, we obtained a large dataset of chemical images of fission yeast cells, showing that by collecting 5-fold more cells in a given experiment time, we were able to get more accurate chemical images, identification of rare cells, and improved biochemical modeling. For example, applying VCA to nearly 100 cells' data together, cellular organelles were resolved that were not faithfully reconstructed by a single cell's dataset.
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Affiliation(s)
- Chuanzhen Hu
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, China.
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13
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Li Y, Shen B, Li S, Zhao Y, Qu J, Liu L. Review of Stimulated Raman Scattering Microscopy Techniques and Applications in the Biosciences. Adv Biol (Weinh) 2020; 5:e2000184. [PMID: 33724734 DOI: 10.1002/adbi.202000184] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 10/17/2020] [Indexed: 01/10/2023]
Abstract
Stimulated Raman scattering (SRS) microscopy is a nonlinear optical imaging method for visualizing chemical content based on molecular vibrational bonds. Featuring high speed, high resolution, high sensitivity, high accuracy, and 3D sectioning, SRS microscopy has made tremendous progress toward biochemical information acquisition, cellular function investigation, and label-free medical diagnosis in the biosciences. In this review, the principle of SRS, system design, and data analysis are introduced, and the current innovations of the SRS system are reviewed. In particular, combined with various bio-orthogonal Raman tags, the applications of SRS microscopy in cell metabolism, tumor diagnosis, neuroscience, drug tracking, and microbial detection are briefly examined. The future prospects for SRS microscopy are also shared.
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Affiliation(s)
- Yanping Li
- Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, 3688 Nanhai Avenue, Shenzhen, 518060, China
| | - Binglin Shen
- Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, 3688 Nanhai Avenue, Shenzhen, 518060, China
| | - Shaowei Li
- Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, 3688 Nanhai Avenue, Shenzhen, 518060, China
| | - Yihua Zhao
- Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, 3688 Nanhai Avenue, Shenzhen, 518060, China
| | - Junle Qu
- Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, 3688 Nanhai Avenue, Shenzhen, 518060, China
| | - Liwei Liu
- Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, 3688 Nanhai Avenue, Shenzhen, 518060, China
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14
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Deguchi T, Bianchini P, Palazzolo G, Oneto M, Diaspro A, Duocastella M. Volumetric Lissajous confocal microscopy with tunable spatiotemporal resolution. BIOMEDICAL OPTICS EXPRESS 2020; 11:6293-6310. [PMID: 33282491 PMCID: PMC7687945 DOI: 10.1364/boe.400777] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 10/06/2020] [Accepted: 10/06/2020] [Indexed: 05/29/2023]
Abstract
Dynamic biological systems present challenges to existing three-dimensional (3D) optical microscopes because of their continuous temporal and spatial changes. Most techniques are rigid in adapting the acquisition parameters over time, as in confocal microscopy, where a laser beam is sequentially scanned at a predefined spatial sampling rate and pixel dwell time. Such lack of tunability forces a user to provide scan parameters, which may not be optimal, based on the best assumption before an acquisition starts. Here, we developed volumetric Lissajous confocal microscopy to achieve unsurpassed 3D scanning speed with a tunable sampling rate. The system combines an acoustic liquid lens for continuous axial focus translation with a resonant scanning mirror. Accordingly, the excitation beam follows a dynamic Lissajous trajectory enabling sub-millisecond acquisitions of image series containing 3D information at a sub-Nyquist sampling rate. By temporal accumulation and/or advanced interpolation algorithms, the volumetric imaging rate is selectable using a post-processing step at the desired spatiotemporal resolution for events of interest. We demonstrate multicolor and calcium imaging over volumes of tens of cubic microns with 3D acquisition speeds of 30 Hz and frame rates up to 5 kHz.
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Affiliation(s)
- Takahiro Deguchi
- Nanoscopy & NIC@IIT, Center for Human Technologies, Istituto Italiano di Tecnologia, via E. Melen 83B, 16152 Genoa, Italy
| | - Paolo Bianchini
- Nanoscopy & NIC@IIT, Center for Human Technologies, Istituto Italiano di Tecnologia, via E. Melen 83B, 16152 Genoa, Italy
| | - Gemma Palazzolo
- Enhanced Regenerative Medicine, Istituto Italiano di Tecnologia, via Morego 30, 16163 Genoa, Italy
| | - Michele Oneto
- Nanoscopy & NIC@IIT, Center for Human Technologies, Istituto Italiano di Tecnologia, via E. Melen 83B, 16152 Genoa, Italy
| | - Alberto Diaspro
- Nanoscopy & NIC@IIT, Center for Human Technologies, Istituto Italiano di Tecnologia, via E. Melen 83B, 16152 Genoa, Italy
- Dipartimento di Fisica, Universita di Genova, Via Dodecaneso 33, 16146, Genoa, Italy
| | - Martí Duocastella
- Nanoscopy & NIC@IIT, Center for Human Technologies, Istituto Italiano di Tecnologia, via E. Melen 83B, 16152 Genoa, Italy
- Departament de Física Aplicada, Universitat de Barcelona, C/Marti i Franques 1, 08028 Barcelona, Spain
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15
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Zhang J, Zhao J, Lin H, Tan Y, Cheng JX. High-Speed Chemical Imaging by Dense-Net Learning of Femtosecond Stimulated Raman Scattering. J Phys Chem Lett 2020; 11:8573-8578. [PMID: 32914982 PMCID: PMC9154735 DOI: 10.1021/acs.jpclett.0c01598] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Hyperspectral stimulated Raman scattering (SRS) by spectral focusing can generate label-free chemical images through temporal scanning of chirped femtosecond pulses. Yet, pulse chirping decreases the pulse peak power and temporal scanning increases the acquisition time, resulting in a much slower imaging speed compared to single-frame SRS using femtosecond pulses. In this paper, we present a deep learning algorithm to solve the inverse problem of getting a chemically labeled image from a single-frame femtosecond SRS image. Our DenseNet-based learning method, termed as DeepChem, achieves high-speed chemical imaging with a large signal level. Speed is improved by 2 orders of magnitude with four subcellular components (lipid droplet, endoplasmic reticulum, nuclei, cytoplasm) classified in MIA PaCa-2 cells and other cell types which were not used for training. Lipid droplet dynamics and cellular response to dithiothreitol in live MIA PaCa-2 cells are demonstrated using this computationally multiplex method.
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Affiliation(s)
- Jing Zhang
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - Jian Zhao
- Department of Electrical & Computer Engineering, Boston University, Boston, MA 02215, USA
| | - Haonan Lin
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - Yuying Tan
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - Ji-Xin Cheng
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
- Department of Electrical & Computer Engineering, Boston University, Boston, MA 02215, USA
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16
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Lin P, Ni H, Li H, Vickers NA, Tan Y, Gong R, Bifano T, Cheng JX. Volumetric chemical imaging in vivo by a remote-focusing stimulated Raman scattering microscope. OPTICS EXPRESS 2020; 28:30210-30221. [PMID: 33114904 PMCID: PMC7679187 DOI: 10.1364/oe.404869] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Operable under ambient light and providing chemical selectivity, stimulated Raman scattering (SRS) microscopy opens a new window for imaging molecular events on a human subject, such as filtration of topical drugs through the skin. A typical approach for volumetric SRS imaging is through piezo scanning of an objective lens, which often disturbs the sample and offers a low axial scan rate. To address these challenges, we have developed a deformable mirror-based remote-focusing SRS microscope, which not only enables high-quality volumetric chemical imaging without mechanical scanning of the objective but also corrects the system aberrations simultaneously. Using the remote-focusing SRS microscope, we performed volumetric chemical imaging of living cells and captured in real time the dynamic diffusion of topical chemicals into human sweat pores.
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Affiliation(s)
- Peng Lin
- Department of Electrical and Computer Engineering, Boston University, 8 St. Mary’s St., Boston, MA 02215, USA
- These authors contributed equally
| | - Hongli Ni
- Department of Electrical and Computer Engineering, Boston University, 8 St. Mary’s St., Boston, MA 02215, USA
- These authors contributed equally
| | - Huate Li
- Department of Mechanical Engineering, Boston University, 110 Cummington Mall, Boston, MA 02215, USA
| | - Nicholas A. Vickers
- Department of Mechanical Engineering, Boston University, 110 Cummington Mall, Boston, MA 02215, USA
| | - Yuying Tan
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston Boston, MA 02215, USA
| | - Ruyi Gong
- Department of Electrical and Computer Engineering, Boston University, 8 St. Mary’s St., Boston, MA 02215, USA
- School of Optical and Electronic Information, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan 430074, China
| | - Thomas Bifano
- Department of Mechanical Engineering, Boston University, 110 Cummington Mall, Boston, MA 02215, USA
- Photonics Center, Boston University, 8 St. Mary’s St, Boston, 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 Mechanical Engineering, Boston University, 110 Cummington Mall, Boston, MA 02215, USA
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston Boston, MA 02215, USA
- Photonics Center, Boston University, 8 St. Mary’s St, Boston, MA 02215, USA
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17
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Wang X, Hu C, Chu K, Smith ZJ. Low resolution Raman: the impact of spectral resolution on limit of detection and imaging speed in hyperspectral imaging. Analyst 2020; 145:6607-6616. [PMID: 32789319 DOI: 10.1039/d0an01390k] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The majority of problems in analytical Raman spectroscopy are mathematically over-determined, where many more spectral variables are measured than analytic outputs (such as chemical concentrations) are calculated. Thus, to improve spectral throughput and simplify system design, some researchers have explored the use of low resolution Raman systems for cell or tissue classification, achieving accuracy independent of spectral resolution. However, the tradeoffs inherent in this approach have not been systematically studied. Here, we theoretically and experimentally explore the relationship between spectral resolution and analytical error. We show that decreased spectral resolution leads to spectral signal-to-noise ratio and therefore more reliable results and lower limits of detection for equivalent integration times in blind unmixing of hyperspectral images. Our theoretical analysis demonstrates that the primary benefit of low resolution Raman spectroscopy is in overcoming detector noise (such as thermal or electronic noise). Therefore, the benefits are most pronounced when utilizing lower-grade, uncooled detectors. Therefore, using a low-cost CMOS camera we experimentally demonstrate the ability of low resolution Raman spectroscopy to achieve substantially improved imaging performance compared to fully-resolved Raman spectral imaging, paving the way for cost-effective, pervasive Raman spectroscopy.
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Affiliation(s)
- Xianli Wang
- Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, China.
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18
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Lipkin M, Nixdorf J, Gilch P. Optimized amplitude modulation in femtosecond stimulated Raman microscopy. OPTICS LETTERS 2020; 45:4204-4207. [PMID: 32735259 DOI: 10.1364/ol.397589] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 06/22/2020] [Indexed: 06/11/2023]
Abstract
In femtosecond stimulated Raman microscopy, two laser pulses (Raman pump and probe) interact at the focus of a scanning microscope. To retrieve the Raman signature of the sample, an amplitude modulation of the pump pulses is necessary. Here, different methods to achieve this modulation are presented and compared.
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19
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Sherlock B, Saint-Jalm S, Malcolm GPA, Maker GT, Moger J. Ultra-low timing jitter, Ti:Al2O3 synchronization for stimulated Raman scattering and pump-probe microscopy. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:1-7. [PMID: 32536041 PMCID: PMC7294598 DOI: 10.1117/1.jbo.25.6.066502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 06/01/2020] [Indexed: 06/11/2023]
Abstract
SIGNIFICANCE Stimulated Raman scattering (SRS) and pump-probe microscopy are implementations of multiphoton microscopy that acquire high-resolution, label-free images of live samples encoded with molecular contrast. Most commercial multiphoton microscopes cannot access these techniques since they require sample illumination by two temporally synchronized ultrafast pulse trains. We present a compact and robust way of synchronizing an additional Ti:sapphire laser with a conventional single-beam multiphoton microscope to realize an instrument that can acquire images with enhanced molecular specificity. AIM A passive optical synchronization scheme for a pair of commercially available, unmodified modelocked Ti:sapphire lasers was developed. The suitability of this synchronization scheme for advanced biomedical microscopy was investigated. APPROACH A pair of modelocked Ti:sapphire lasers were aligned in master-slave configuration. Five percent of the master laser output was used to seed the modelocking in the slave laser cavity. The timing jitter of the master and slave pulse trains was characterized using an optical autocorrelator. The synchronized output of both lasers was coupled into a laser scanning microscope and used to acquire spectral focusing SRS and pump-probe microscopy images from biological and nonbiological samples. RESULTS A timing jitter between the modelocked pulse trains of 0.74 fs was recorded. Spectral focusing SRS allowed spectral discrimination of polystyrene and polymethyl methacrylate beads. Pump-probe microscopy was used to record excited state lifetime curves from hemoglobin in intact red blood cells. CONCLUSION Our work demonstrates a simple and robust method of upgrading single-beam multiphoton microscopes with an additional ultrafast laser. The resulting dual-beam instrument can be used to acquire label-free images of sample structure and composition with high biochemical specificity.
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Affiliation(s)
- Ben Sherlock
- University of Exeter, School of Physics and Astronomy, Exeter, United Kingdom
| | - Sarah Saint-Jalm
- University of Exeter, School of Physics and Astronomy, Exeter, United Kingdom
| | | | | | - Julian Moger
- University of Exeter, School of Physics and Astronomy, Exeter, United Kingdom
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20
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Audier X, Forget N, Rigneault H. High-speed chemical imaging of dynamic and histological samples with stimulated Raman micro-spectroscopy. OPTICS EXPRESS 2020; 28:15505-15514. [PMID: 32403577 DOI: 10.1364/oe.390850] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
We report a shot noise limited high-speed stimulated Raman microscopy platform allowing to acquire molecular vibrational spectra over 200 cm-1 in 12 µs at a scan rate of 40kHz. Using spectral focusing together with optimized acousto-optics programmable dispersive filters, the designed low noise imaging platform performs chemical imaging of dynamical processes such as Mannitol crystal hydration and reaches a signal to noise ratio sufficient to perform label free histological imaging on frozen human colon tissue slides.
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21
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Li H, Cheng Y, Tang H, Bi Y, Chen Y, Yang G, Guo S, Tian S, Liao J, Lv X, Zeng S, Zhu M, Xu C, Cheng J, Wang P. Imaging Chemical Kinetics of Radical Polymerization with an Ultrafast Coherent Raman Microscope. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2020; 7:1903644. [PMID: 32440482 PMCID: PMC7237838 DOI: 10.1002/advs.201903644] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 01/31/2020] [Accepted: 02/13/2020] [Indexed: 05/21/2023]
Abstract
Numerous mechanisms have been proposed for polymerization to provide qualitative and quantitative prediction of how monomers spatially and temporally arrange into the polymeric chains. However, less is known about this process at the molecular level because the ultrafast chemical reaction is inaccessible for any form of microscope so far. Here, to address this unmet challenge, a stimulated Raman scattering microscope based on collinear multiple beams (COMB-SRS) is demonstrated, which allows label-free molecular imaging of polymer synthesis in action at speed of 2000 frames per second. The field of view of the developed 2 kHz SRS microscope is 30 × 28 µm2 with 50 × 46 pixels and 7 µs dwell time. By catching up the speed of chemical reaction, COMB-SRS is able to quantitatively visualize the ultrafast dynamics of molecular vibrations with submicron spatial resolution and sub-millisecond temporal resolution. The propagating polymer waves driven by reaction rate and persistent UV initiation are observed in situ. This methodology is expected to permit the development of novel functional polymers, controllable photoresists, 3D printing, and other new polymerization technologies.
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Affiliation(s)
- Haozheng Li
- Britton Chance Center for Biomedical PhotonicsWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanHubei430074China
- MoE Key Laboratory for Biomedical PhotonicsCollaborative Innovation Center for Biomedical EngineeringSchool of Engineering SciencesHuazhong University of Science and TechnologyWuhanHubei430074China
| | - Yong Cheng
- Britton Chance Center for Biomedical PhotonicsWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanHubei430074China
- MoE Key Laboratory for Biomedical PhotonicsCollaborative Innovation Center for Biomedical EngineeringSchool of Engineering SciencesHuazhong University of Science and TechnologyWuhanHubei430074China
| | - Huajun Tang
- Britton Chance Center for Biomedical PhotonicsWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanHubei430074China
- MoE Key Laboratory for Biomedical PhotonicsCollaborative Innovation Center for Biomedical EngineeringSchool of Engineering SciencesHuazhong University of Science and TechnologyWuhanHubei430074China
| | - Yali Bi
- Britton Chance Center for Biomedical PhotonicsWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanHubei430074China
- MoE Key Laboratory for Biomedical PhotonicsCollaborative Innovation Center for Biomedical EngineeringSchool of Engineering SciencesHuazhong University of Science and TechnologyWuhanHubei430074China
| | - Yage Chen
- Britton Chance Center for Biomedical PhotonicsWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanHubei430074China
- MoE Key Laboratory for Biomedical PhotonicsCollaborative Innovation Center for Biomedical EngineeringSchool of Engineering SciencesHuazhong University of Science and TechnologyWuhanHubei430074China
| | - Guang Yang
- Britton Chance Center for Biomedical PhotonicsWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanHubei430074China
- MoE Key Laboratory for Biomedical PhotonicsCollaborative Innovation Center for Biomedical EngineeringSchool of Engineering SciencesHuazhong University of Science and TechnologyWuhanHubei430074China
| | - Shoujing Guo
- Britton Chance Center for Biomedical PhotonicsWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanHubei430074China
- MoE Key Laboratory for Biomedical PhotonicsCollaborative Innovation Center for Biomedical EngineeringSchool of Engineering SciencesHuazhong University of Science and TechnologyWuhanHubei430074China
| | - Sidan Tian
- Britton Chance Center for Biomedical PhotonicsWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanHubei430074China
- MoE Key Laboratory for Biomedical PhotonicsCollaborative Innovation Center for Biomedical EngineeringSchool of Engineering SciencesHuazhong University of Science and TechnologyWuhanHubei430074China
| | - Jiangshan Liao
- Britton Chance Center for Biomedical PhotonicsWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanHubei430074China
- MoE Key Laboratory for Biomedical PhotonicsCollaborative Innovation Center for Biomedical EngineeringSchool of Engineering SciencesHuazhong University of Science and TechnologyWuhanHubei430074China
| | - Xiaohua Lv
- Britton Chance Center for Biomedical PhotonicsWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanHubei430074China
- MoE Key Laboratory for Biomedical PhotonicsCollaborative Innovation Center for Biomedical EngineeringSchool of Engineering SciencesHuazhong University of Science and TechnologyWuhanHubei430074China
| | - Shaoqun Zeng
- Britton Chance Center for Biomedical PhotonicsWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanHubei430074China
- MoE Key Laboratory for Biomedical PhotonicsCollaborative Innovation Center for Biomedical EngineeringSchool of Engineering SciencesHuazhong University of Science and TechnologyWuhanHubei430074China
| | - Mingqiang Zhu
- Britton Chance Center for Biomedical PhotonicsWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanHubei430074China
- MoE Key Laboratory for Biomedical PhotonicsCollaborative Innovation Center for Biomedical EngineeringSchool of Engineering SciencesHuazhong University of Science and TechnologyWuhanHubei430074China
| | - Chenjie Xu
- School of Chemical and Biomedical EngineeringNanyang Technological UniversitySingapore637457Singapore
| | - Ji‐Xin Cheng
- Department of Biomedical EngineeringBoston UniversityBostonMA02215USA
| | - Ping Wang
- Britton Chance Center for Biomedical PhotonicsWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanHubei430074China
- MoE Key Laboratory for Biomedical PhotonicsCollaborative Innovation Center for Biomedical EngineeringSchool of Engineering SciencesHuazhong University of Science and TechnologyWuhanHubei430074China
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22
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Stewart TJ. Across the spectrum: integrating multidimensional metal analytics for in situ metallomic imaging. Metallomics 2020; 11:29-49. [PMID: 30499574 PMCID: PMC6350628 DOI: 10.1039/c8mt00235e] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
To know how much of a metal species is in a particular location within a biological context at any given time is essential for understanding the intricate roles of metals in biology and is the fundamental question upon which the field of metallomics was born. Simply put, seeing is powerful. With the combination of spectroscopy and microscopy, we can now see metals within complex biological matrices complemented by information about associated molecules and their structures. With the addition of mass spectrometry and particle beam based techniques, the field of view grows to cover greater sensitivities and spatial resolutions, addressing structural, functional and quantitative metallomic questions from the atomic level to whole body processes. In this perspective, I present a paradigm shift in the way we relate to and integrate current and developing metallomic analytics, highlighting both familiar and perhaps less well-known state of the art techniques for in situ metallomic imaging, specific biological applications, and their use in correlative studies. There is a genuine need to abandon scientific silos and, through the establishment of a metallomic scientific platform for further development of multidimensional analytics for in situ metallomic imaging, we have an incredible opportunity to enhance the field of metallomics and demonstrate how discovery research can be done more effectively.
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Affiliation(s)
- Theodora J Stewart
- King's College London, Mass Spectrometry, London Metallomics Facility, 4th Floor Franklin-Wilkins Building, 150 Stamford St., London SE1 9NH, UK.
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23
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Wang J, Zhang G, You Z. Design rules for dense and rapid Lissajous scanning. MICROSYSTEMS & NANOENGINEERING 2020; 6:101. [PMID: 34567710 PMCID: PMC8433367 DOI: 10.1038/s41378-020-00211-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 06/10/2020] [Accepted: 08/21/2020] [Indexed: 05/17/2023]
Abstract
Lissajous microscanners are very popular in compact laser-scanning applications, such as solid-state light detection and ranging (LIDAR), owing to their high-quality factor and low power consumption. In the Lissajous scanner driven by a two-axis micro-electro-mechanical system scanning mirror (MEMS-SM), the design theory is insufficient to meet the temporal and spatial resolution at the same time. In this paper, the greatest common divisor of the two-axis driving frequency is used as the temporal resolution, the concept of the fill factor (FF) is used to describe the spatial resolution of the scanner, and a general algorithm for calculating the FF is presented. Combined with the characteristics of the Lissajous trajectory, three design rules of the general Lissajous scanner are proposed, and the design theory of the Lissajous scanner enabling MEMS LIDAR is perfected. Experimental results show that the proposed design rules can effectively meet the LIDAR design requirements.
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Affiliation(s)
- Junya Wang
- Department of Precision Instrument, Tsinghua University, Beijing, China
- State Key Laboratory of Precision Testing Technology and Instruments, Tsinghua University, 10084 Beijing, China
- Information Engineering University, Zhengzhou, China
| | - Gaofei Zhang
- Department of Precision Instrument, Tsinghua University, Beijing, China
- State Key Laboratory of Precision Testing Technology and Instruments, Tsinghua University, 10084 Beijing, China
| | - Zheng You
- Department of Precision Instrument, Tsinghua University, Beijing, China
- State Key Laboratory of Precision Testing Technology and Instruments, Tsinghua University, 10084 Beijing, China
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24
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Bae K, Zheng W, Huang Z. Spatial light-modulated stimulated Raman scattering (SLM-SRS) microscopy for rapid multiplexed vibrational imaging. Am J Cancer Res 2020; 10:312-322. [PMID: 31903122 PMCID: PMC6929623 DOI: 10.7150/thno.38551] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 09/16/2019] [Indexed: 01/03/2023] Open
Abstract
High speed imaging is pre-requisite for monitoring of dynamic processes in biological events. Here we report the development of a unique spatial light-modulated stimulated Raman scattering (SLM-SRS) microscopy that tailors the broadband excitation beam with sparse-sampling masks designed for rapid multiplexed vibrational imaging to monitor real-time cancer treatment effects and in vivo transport of drug solvent. Methods: We design an optimal mask pattern that enables selection of predominant windows in SRS spectrum for collective excitation at the highest possible peak power, thus providing an improved signal-to-noise ratio (SNR) without compromise of chemical specificity. The mask pattern generated is applied to the broad excitation beam using a flexible spatial light modulator. The SLM module further offers complementary function whereby rapid scanning of SRS spectrum can be facilitated prior to the mask generation, thereby making the SLM-SRS system a stand-alone imaging platform. Results: We demonstrate that SLM-SRS microscopy permits rapid multiplexed SRS imaging of polystyrene and polymethyl methacrylate beads in Brownian motion in dimethyl sulfoxide (DMSO) at 70 ms intervals without motion artiacts. We further apply SLM-SRS to monitor the therapeautic effect of mild alkaline solution on cancer cells, which shows immediate apoptotic response. Finally, we visualize in vivo penetration of DMSO into the plant tissue and evaluate acute toxicity of DMSO on cellulose and proteins within the tissue. Conclusion: We develop novel SLM-SRS microscopy and affirm its broad applicability for rapid monitoring of dynamic biological processes at the subcellular and molecular level.
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25
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Christensen D, Rüther A, Kochan K, Pérez-Guaita D, Wood B. Whole-Organism Analysis by Vibrational Spectroscopy. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2019; 12:89-108. [PMID: 30978292 DOI: 10.1146/annurev-anchem-061318-115117] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Vibrational spectroscopy has contributed to the understanding of biological materials for many years. As the technology has advanced, the technique has been brought to bear on the analysis of whole organisms. Here, we discuss advanced and recently developed infrared and Raman spectroscopic instrumentation to whole-organism analysis. We highlight many of the recent contributions made in this relatively new area of spectroscopy, particularly addressing organisms associated with disease with emphasis on diagnosis and treatment. The application of vibrational spectroscopic techniques to entire organisms is still in its infancy, but new developments in imaging and chemometric processing will likely expand in the field in the near future.
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Affiliation(s)
- Dale Christensen
- School of Chemistry, Monash University, Victoria 3800, Australia;
| | - Anja Rüther
- School of Chemistry, Monash University, Victoria 3800, Australia;
| | - Kamila Kochan
- School of Chemistry, Monash University, Victoria 3800, Australia;
| | | | - Bayden Wood
- School of Chemistry, Monash University, Victoria 3800, Australia;
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26
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He H, Xu M, Zong C, Zheng P, Luo L, Wang L, Ren B. Speeding Up the Line-Scan Raman Imaging of Living Cells by Deep Convolutional Neural Network. Anal Chem 2019; 91:7070-7077. [PMID: 31063356 DOI: 10.1021/acs.analchem.8b05962] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Raman imaging is a promising technique that allows the spatial distribution of different components in the sample to be obtained using the molecular fingerprint information on individual species. However, the imaging speed is the bottleneck for the current Raman imaging methods to monitor the dynamic process of living cells. In this paper, we developed an artificial intelligence assisted fast Raman imaging method over the already fast line scan Raman imaging method. The reduced imaging time is realized by widening the slit and laser beam, and scanning the sample with a large scan step. The imaging quality is improved by a data-driven approach to train a deep convolutional neural network, which statistically learns to transform low-resolution images acquired at a high speed into high-resolution ones that previously were only possible with a low imaging speed. Accompanied with the improvement of the image resolution, the deteriorated spectral resolution as a consequence of a wide slit is also restored, thereby the fidelity of the spectral information is retained. The imaging time can be reduced to within 1 min, which is about five times faster than the state-of-the-art line scan Raman imaging techniques without sacrificing spectral and spatial resolution. We then demonstrated the reliability of the current method using fixed cells. We finally used the method to monitor the dynamic evolution process of living cells. Such an imaging speed opens a door to the label-free observation of cellular events with conventional Raman microscopy.
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Affiliation(s)
- Hao He
- School of Aerospace Engineering , Xiamen University , Xiamen 361005 , P. R. China
| | - Mengxi Xu
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering , Xiamen University , Xiamen 361005 , P. R. China
| | - Cheng Zong
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering , Xiamen University , Xiamen 361005 , P. R. China
| | - Peng Zheng
- School of Aerospace Engineering , Xiamen University , Xiamen 361005 , P. R. China
| | - Lilan Luo
- School of Aerospace Engineering , Xiamen University , Xiamen 361005 , P. R. China
| | - Lei Wang
- School of Aerospace Engineering , Xiamen University , Xiamen 361005 , P. R. China
| | - Bin Ren
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering , Xiamen University , Xiamen 361005 , P. R. China
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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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28
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Qiu J, Qi X, Li X, Xu W, Tang Y, Ma Z. Broadband, high-resolution Raman observations from a double-echelle spatial heterodyne Raman spectrometer. APPLIED OPTICS 2018; 57:8936-8941. [PMID: 30461879 DOI: 10.1364/ao.57.008936] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 09/18/2018] [Indexed: 06/09/2023]
Abstract
A new broadband Raman spectrometer has been developed, to the best of our knowledge, using a double-echelle spatial heterodyne Raman spectrometer (DESHRS). The instrument is constructed by using two echelle gratings. Masks are used to remove the shadow ghosts caused by the different orders of the two echelle gratings. Raman spectra of inorganic solid targets and methanol are given, and Raman shifts of up to 3000 cm-1 are obtained by the DESHRS. The instrument has shown that a broadband coverage and high resolution can be achieved simultaneously to meet the requirements of Raman measurements, covering 3590 cm-1 with 1.21 cm-1 spectral resolution.
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29
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Qiu J, Qi X, Li X, Tang Y, Lantu J, Mi X, Bayan H. Broadband transmission Raman measurements using a field-widened spatial heterodyne Raman spectrometer with mosaic grating structure. OPTICS EXPRESS 2018; 26:26106-26119. [PMID: 30469702 DOI: 10.1364/oe.26.026106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 08/28/2018] [Indexed: 06/09/2023]
Abstract
A field-widened spatial heterodyne Raman spectrometer with a mosaic grating structure is developed for the simultaneous sensitivity enhancement and broadband transmission Raman measurements. We optimize the etendue to maximize the signals collected from the samples by using field-widening prisms and employ two mosaic gratings to achieve broadband operation, covering 5638 cm-1 with 2.865 cm-1 spectral resolution. The signal-to-noise ratios are improved by a factor of more than 11 and show a good stability and fair repeatability. We investigate the effects of the sample thickness and outer layer depth and observe liquids, solids, mixed targets, and anti-Stokes shifts. The instrument exhibits good performance for wide-field, high-resolution broadband transmission Raman measurements.
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30
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Shen C, Tan X, Jiao Q, Zhang W, Wu N, Bayan H, Qi X. Convex blazed grating of high diffraction efficiency fabricated by swing ion-beam etching method. OPTICS EXPRESS 2018; 26:25381-25398. [PMID: 30469641 DOI: 10.1364/oe.26.025381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 08/26/2018] [Indexed: 06/09/2023]
Abstract
A swing ion-beam etching method to fabricate convex blazed gratings used in shortwave infrared hyperspectral imaging spectrometers is presented. This method solves the consistency problem of blaze angles by swing etching through the meridian direction of the gratings. The mathematical relationship of the curvature, aperture, and diffraction efficiency of convex gratings is studied to demonstrate the limitation of conventional translational lithography and the necessity of swing etching. A geometric model is built to analyze the influence of swinging speed and beam slit width on groove evolution. Convex gratings with a 45.5 gr/mm groove density, 67 mm aperture, 156.88 mm radius of curvature, and 2.2° blaze angle have been fabricated and measured where the peak and average diffraction efficiency in the shortwave infrared band reach 90% and 70%, respectively. Experimental results validate that high-efficiency convex gratings of small blaze angle and high groove consistency can be produced by swing etching, which satisfy the requirements for high spectral resolution and miniaturization of imaging spectrometers.
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