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Clark MG, Mohn KJ, Dong B, Campbell HC, Zhang C. Frequency-Domain Low-Wavenumber Hyperspectral Stimulated Raman Scattering Microscopy. Anal Chem 2024; 96:10341-10347. [PMID: 38863402 DOI: 10.1021/acs.analchem.4c01298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2024]
Abstract
In recent years, stimulated Raman scattering (SRS) microscopy has experienced rapid technological advancements and has found widespread applications in chemical analysis. Hyperspectral SRS (hSRS) microscopy further enhances the chemical selectivity in imaging by providing a Raman spectrum for each pixel. Time-domain hSRS techniques often require interferometry and ultrashort femtosecond laser pulses. They are especially suited to measuring low-wavenumber Raman transitions but are susceptible to scattering-induced distortions. Frequency-domain hSRS microscopy, on the other hand, offers a simpler optical configuration and demonstrates high tolerance to sample scattering but typically operates within the spectral range of 400-4000 cm-1. Conventional frequency-domain hSRS microscopy is widely employed in biological applications but falls short in detecting chemical bonds with a weaker vibrational energy. In this work, we extend the spectral coverage of picosecond spectral-focusing hSRS microscopy to below 100 cm-1. This frequency-domain low-wavenumber hSRS approach can measure the weaker vibrational energy from the sample and has a strong tolerance to sample scattering. By expanding spectral coverage to 100-4000 cm-1, this development enhances the capability of spectral-domain SRS microscopy for chemical imaging.
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Affiliation(s)
- Matthew G Clark
- Department of Chemistry, Purdue University; 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Karsten J Mohn
- Department of Chemistry, Purdue University; 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Bin Dong
- Department of Chemistry, Purdue University; 560 Oval Dr., West Lafayette, Indiana 47907, United States
- Purdue Center for Cancer Research; 201 S University St., West Lafayette, Indiana 47907, United States
| | - Helen C Campbell
- Department of Chemistry, Purdue University; 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Chi Zhang
- Department of Chemistry, Purdue University; 560 Oval Dr., West Lafayette, Indiana 47907, United States
- Purdue Center for Cancer Research; 201 S University St., West Lafayette, Indiana 47907, United States
- Immunology, and Infectious Disease, Purdue Institute of Inflammation, Immunology and Infectious Disease, 207 S Martin Jischke Dr., West Lafayette, Indiana 47907, United States
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2
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Dunnington EL, Wong BS, Fu D. Innovative Approaches for Drug Discovery: Quantifying Drug Distribution and Response with Raman Imaging. Anal Chem 2024; 96:7926-7944. [PMID: 38625100 PMCID: PMC11108735 DOI: 10.1021/acs.analchem.4c01413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Affiliation(s)
| | | | - Dan Fu
- Department of Chemistry, University of Washington, Seattle, WA, 98195, USA
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3
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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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4
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Tang X, Wu Q, Shang L, Liu K, Ge Y, Liang P, Li B. Raman cell sorting for single-cell research. Front Bioeng Biotechnol 2024; 12:1389143. [PMID: 38832129 PMCID: PMC11145634 DOI: 10.3389/fbioe.2024.1389143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 04/08/2024] [Indexed: 06/05/2024] Open
Abstract
Cells constitute the fundamental units of living organisms. Investigating individual differences at the single-cell level facilitates an understanding of cell differentiation, development, gene expression, and cellular characteristics, unveiling the underlying laws governing life activities in depth. In recent years, the integration of single-cell manipulation and recognition technologies into detection and sorting systems has emerged as a powerful tool for advancing single-cell research. Raman cell sorting technology has garnered attention owing to its non-labeling, non-destructive detection features and the capability to analyze samples containing water. In addition, this technology can provide live cells for subsequent genomics analysis and gene sequencing. This paper emphasizes the importance of single-cell research, describes the single-cell research methods that currently exist, including single-cell manipulation and single-cell identification techniques, and highlights the advantages of Raman spectroscopy in the field of single-cell analysis by comparing it with the fluorescence-activated cell sorting (FACS) technique. It describes various existing Raman cell sorting techniques and introduces their respective advantages and disadvantages. The above techniques were compared and analyzed, considering a variety of factors. The current bottlenecks include weak single-cell spontaneous Raman signals and the requirement for a prolonged total cell exposure time, significantly constraining Raman cell sorting technology's detection speed, efficiency, and throughput. This paper provides an overview of current methods for enhancing weak spontaneous Raman signals and their associated advantages and disadvantages. Finally, the paper outlines the detailed information related to the Raman cell sorting technology mentioned in this paper and discusses the development trends and direction of Raman cell sorting.
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Affiliation(s)
- Xusheng Tang
- Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Qingyi Wu
- Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Lindong Shang
- Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Kunxiang Liu
- Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yan Ge
- Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Peng Liang
- Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China
- University of Chinese Academy of Sciences, Beijing, China
- Hooke Instruments Ltd., Changchun, China
| | - Bei Li
- Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China
- University of Chinese Academy of Sciences, Beijing, China
- Hooke Instruments Ltd., Changchun, China
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5
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Sorrells JE, Yang L, Iyer RR, Chaney EJ, Renteria CA, Boppart SA. Programmable hyperspectral coherent anti-Stokes Raman scattering microscopy. OPTICS LETTERS 2024; 49:2513-2516. [PMID: 38691757 DOI: 10.1364/ol.521864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 03/28/2024] [Indexed: 05/03/2024]
Abstract
Hyperspectral coherent Raman scattering microscopy provides a significant improvement in acquisition time compared to spontaneous Raman scattering yet still suffers from the time required to sweep through individual wavenumbers. To address this, we present the use of a pulse shaper with a 2D spatial light modulator for phase- and amplitude-based shaping of the Stokes beam to create programmable spectrally tailored excitation envelopes. This enables collection of useful spectral information in a more rapid and efficient manner.
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6
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Kawaguchi M, Yonetani Y, Mizuguchi T, Spratt SJ, Asanuma M, Shimizu H, Sasaki M, Ozeki Y. Visualization of Modified Bisarylbutadiyne-Tagged Small Molecules in Live-Cell Nuclei by Stimulated Raman Scattering Microscopy. Anal Chem 2024; 96:6643-6651. [PMID: 38626411 DOI: 10.1021/acs.analchem.3c05946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2024]
Abstract
Visualizing the distribution of small-molecule drugs in living cells is an important strategy for developing specific, effective, and minimally toxic drugs. As an alternative to fluorescence imaging using bulky fluorophores or cell fixation, stimulated Raman scattering (SRS) imaging combined with bisarylbutadiyne (BADY) tagging enables the observation of small molecules closer to their native intracellular state. However, there is evidence that the physicochemical properties of BADY-tagged analogues of small-molecule drugs differ significantly from those of their parent drugs, potentially affecting their intracellular distribution. Herein, we developed a modified BADY to reduce deviations in physicochemical properties (in particular, lipophilicity and membrane permeability) between tagged and parent drugs, while maintaining high Raman activity in live-cell SRS imaging. We highlight the practical application of this approach by revealing the nuclear distribution of a modified BADY-tagged analogue of JQ1, a bromodomain and extra-terminal motif inhibitor with applications in targeted cancer therapy, in living HeLa cells. The modified BADY, methoxypyridazyl pyrimidyl butadiyne (MPDY), revealed intranuclear JQ1, while BADY-tagged JQ1 did not show a clear nuclear signal. We anticipate that the present approach combining MPDY tagging with live-cell SRS imaging provides important insight into the behavior of intracellular drugs and represents a promising avenue for improving drug development.
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Affiliation(s)
| | - Yuki Yonetani
- Future Technology R&D Center, Canon Inc., Tokyo 146-8501, Japan
| | - Takaha Mizuguchi
- Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Tokyo 153-8904, Japan
| | - Spencer J Spratt
- Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Tokyo 153-8904, Japan
| | - Masato Asanuma
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan
| | - Hiroki Shimizu
- Organic & Biomolecular Chemistry Department, Daiichi Sankyo RD Novare Co., Ltd., Tokyo 134-8630, Japan
| | - Masato Sasaki
- Organic & Biomolecular Chemistry Department, Daiichi Sankyo RD Novare Co., Ltd., Tokyo 134-8630, Japan
| | - Yasuyuki Ozeki
- Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Tokyo 153-8904, Japan
- Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan
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7
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Wei Y, Pence IJ, Wiatrowski A, Slade JB, Evans CL. Quantitative analysis of drug tablet aging by fast hyper-spectral stimulated Raman scattering microscopy. Analyst 2024; 149:1436-1446. [PMID: 38050860 DOI: 10.1039/d3an01527k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
Pharmaceutical development of solid-state formulations requires testing active pharmaceutical ingredients (API) and excipients for uniformity and stability. Solid-state properties such as component distribution and grain size are crucial factors that influence the dissolution profile, which greatly affect drug efficacy and toxicity, and can only be analyzed spatially by chemical imaging (CI) techniques. Current CI techniques such as near infrared microscopy and confocal Raman spectroscopy are capable of high chemical and spatial resolution but cannot achieve the measurement speeds necessary for integration into the pharmaceutical production and quality assurance processes. To fill this gap, we demonstrate fast chemical imaging by epi-detected sparse spectral sampling stimulated Raman scattering to quantify API and excipient degradation and distribution.
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Affiliation(s)
- Yuxiao Wei
- Wellman Center for Photomedicine, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
- Harvard Medical School, Department of Biological and Biomedical Sciences, 260 Longwood Ave, Boston, Massachusetts 02115, USA
| | - Isaac J Pence
- Wellman Center for Photomedicine, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
| | - Anna Wiatrowski
- Wellman Center for Photomedicine, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
| | - Julia B Slade
- Wellman Center for Photomedicine, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
| | - Conor L Evans
- Wellman Center for Photomedicine, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
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8
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Hempel F, Vernuccio F, König L, Buschbeck R, Rüsing M, Cerullo G, Polli D, Eng LM. Comparing transmission- and epi-BCARS: a round robin on solid-state materials. APPLIED OPTICS 2024; 63:112-121. [PMID: 38175007 DOI: 10.1364/ao.505374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 11/29/2023] [Indexed: 01/05/2024]
Abstract
Broadband coherent anti-Stokes Raman scattering (BCARS) is a powerful spectroscopy method combining high signal intensity with spectral sensitivity, enabling rapid imaging of heterogeneous samples in biomedical research and, more recently, in crystalline materials. However, BCARS encounters spectral distortion due to a setup-dependent non-resonant background (NRB). This study assesses BCARS reproducibility through a round robin experiment using two distinct BCARS setups and crystalline materials with varying structural complexity, including diamond, 6H-SiC, KDP, and KTP. The analysis compares setup-specific NRB correction procedures, detected and NRB-removed spectra, and mode assignment. We determine the influence of BCARS setup parameters like pump wavelength, pulse width, and detection geometry and provide a practical guide for optimizing BCARS setups for solid-state applications.
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9
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Raju G, Nayak S, Acharya N, Sunder M, Kistenev Y, Mazumder N. Exploring the future of regenerative medicine: Unveiling the potential of optical microscopy for structural and functional imaging of stem cells. JOURNAL OF BIOPHOTONICS 2024; 17:e202300360. [PMID: 38168892 DOI: 10.1002/jbio.202300360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 10/18/2023] [Accepted: 12/03/2023] [Indexed: 01/05/2024]
Abstract
Regenerative medicine, which utilizes stem cells for tissue and organ repair, holds immense promise in healthcare. A comprehensive understanding of stem cell characteristics is crucial to unlock their potential. This study explores the pivotal role of optical microscopy in advancing regenerative medicine as a potent tool for stem cell research. Advanced optical microscopy techniques enable an in-depth examination of stem cell behavior, morphology, and functionality. The review encompasses current optical microscopy, elucidating its capabilities and constraints in stem cell imaging, while also shedding light on emerging technologies for improved stem cell visualization. Optical microscopy, complemented by techniques like fluorescence and multiphoton imaging, enhances our comprehension of stem cell dynamics. The introduction of label-free imaging facilitates noninvasive, real-time stem cell monitoring without external dyes or markers. By pushing the boundaries of optical microscopy, researchers reveal the intricate cellular mechanisms underpinning regenerative processes, thereby advancing more effective therapeutic strategies. The current study not only outlines the future of regenerative medicine but also underscores the pivotal role of optical microscopy in both structural and functional stem cell imaging.
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Affiliation(s)
- Gagan Raju
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Smitha Nayak
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Neha Acharya
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Mridula Sunder
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Yury Kistenev
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | - Nirmal Mazumder
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
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10
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Mehrotra M, Phadte P, Shenoy P, Chakraborty S, Gupta S, Ray P. Drug-Resistant Epithelial Ovarian Cancer: Current and Future Perspectives. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1452:65-96. [PMID: 38805125 DOI: 10.1007/978-3-031-58311-7_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] [Indexed: 05/29/2024]
Abstract
Epithelial ovarian cancer (EOC) is a complex disease with diverse histological subtypes, which, based on the aggressiveness and course of disease progression, have recently been broadly grouped into type I (low-grade serous, endometrioid, clear cell, and mucinous) and type II (high-grade serous, high-grade endometrioid, and undifferentiated carcinomas) categories. Despite substantial differences in pathogenesis, genetics, prognosis, and treatment response, clinical diagnosis and management of EOC remain similar across the subtypes. Debulking surgery combined with platinum-taxol-based chemotherapy serves as the initial treatment for High Grade Serous Ovarian Carcinoma (HGSOC), the most prevalent one, and for other subtypes, but most patients exhibit intrinsic or acquired resistance and recur in short duration. Targeted therapies, such as anti-angiogenics (e.g., bevacizumab) and PARP inhibitors (for BRCA-mutated cancers), offer some success, but therapy resistance, through various mechanisms, poses a significant challenge. This comprehensive chapter delves into emerging strategies to address these challenges, highlighting factors like aberrant miRNAs, metabolism, apoptosis evasion, cancer stem cells, and autophagy, which play pivotal roles in mediating resistance and disease relapse in EOC. Beyond standard treatments, the focus of this study extends to alternate targeted agents, including immunotherapies like checkpoint inhibitors, CAR T cells, and vaccines, as well as inhibitors targeting key oncogenic pathways in EOC. Additionally, this chapter covers disease classification, diagnosis, resistance pathways, standard treatments, and clinical data on various emerging approaches, and advocates for a nuanced and personalized approach tailored to individual subtypes and resistance mechanisms, aiming to enhance therapeutic outcomes across the spectrum of EOC subtypes.
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Affiliation(s)
- Megha Mehrotra
- Imaging Cell Signalling & Therapeutics Lab, Advanced Centre for Treatment, Research and Education in Cancer-Tata Memorial Centre, Navi Mumbai, India
- Homi Bhabha National Institute, Mumbai, India
| | - Pratham Phadte
- Imaging Cell Signalling & Therapeutics Lab, Advanced Centre for Treatment, Research and Education in Cancer-Tata Memorial Centre, Navi Mumbai, India
- Homi Bhabha National Institute, Mumbai, India
| | - Priti Shenoy
- Imaging Cell Signalling & Therapeutics Lab, Advanced Centre for Treatment, Research and Education in Cancer-Tata Memorial Centre, Navi Mumbai, India
- Homi Bhabha National Institute, Mumbai, India
| | - Sourav Chakraborty
- Imaging Cell Signalling & Therapeutics Lab, Advanced Centre for Treatment, Research and Education in Cancer-Tata Memorial Centre, Navi Mumbai, India
- Homi Bhabha National Institute, Mumbai, India
| | - Sudeep Gupta
- Homi Bhabha National Institute, Mumbai, India
- Department of Medical Oncology, Tata Memorial Centre, Mumbai, India
| | - Pritha Ray
- Imaging Cell Signalling & Therapeutics Lab, Advanced Centre for Treatment, Research and Education in Cancer-Tata Memorial Centre, Navi Mumbai, India.
- Homi Bhabha National Institute, Mumbai, India.
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11
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Zhu H, Chen B, Yakovlev VV, Zhang D. Time-resolved vibrational dynamics: Novel opportunities for sensing and imaging. Talanta 2024; 266:125046. [PMID: 37595525 DOI: 10.1016/j.talanta.2023.125046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/19/2023] [Accepted: 08/05/2023] [Indexed: 08/20/2023]
Abstract
The evolution of time-resolved spectroscopies has resulted in significant advancements across numerous scientific disciplines, particularly those concerned with molecular electronic states. However, the intricacy of molecular vibrational spectroscopies, which provide comprehensive molecular-level information within complex structures, has presented considerable challenges due to the ultrashort dephasing time. Over recent decades, an increasing focus has been placed on exploring the temporal progression of bond vibrations, thereby facilitating an improved understanding of energy redistribution within and between molecules. This review article focuses on an array of time-resolved detection methodologies, each distinguished by unique technological attributes that offer exclusive capabilities for investigating the physical phenomena propelled by molecular vibrational dynamics. In summary, time-resolved vibrational spectroscopy emerges as a potent instrument for deciphering the dynamic behavior of molecules. Its potential for driving future progress across fields as diverse as biology and materials science is substantial, marking a promising future for this innovative tool.
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Affiliation(s)
- Hanlin Zhu
- Interdisciplinary Center for Quantum Information, Zhejiang Province Key Laboratory of Quantum Technology and Device, and Department of Physics, Zhejiang University, Hangzhou, Zhejiang, 310028, China.
| | - Bo Chen
- Interdisciplinary Center for Quantum Information, Zhejiang Province Key Laboratory of Quantum Technology and Device, and Department of Physics, Zhejiang University, Hangzhou, Zhejiang, 310028, China.
| | - Vladislav V Yakovlev
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA; Department of Physics and Astronomy, Texas A&M University, College Station, TX, 77843, USA; Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, 77843, USA.
| | - Delong Zhang
- Interdisciplinary Center for Quantum Information, Zhejiang Province Key Laboratory of Quantum Technology and Device, and Department of Physics, Zhejiang University, Hangzhou, Zhejiang, 310028, China.
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12
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Liu H, Jiang H, Liu X, Wang X. Physicochemical understanding of biomineralization by molecular vibrational spectroscopy: From mechanism to nature. EXPLORATION (BEIJING, CHINA) 2023; 3:20230033. [PMID: 38264681 PMCID: PMC10742219 DOI: 10.1002/exp.20230033] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Accepted: 06/25/2023] [Indexed: 01/25/2024]
Abstract
The process and mechanism of biomineralization and relevant physicochemical properties of mineral crystals are remarkably sophisticated multidisciplinary fields that include biology, chemistry, physics, and materials science. The components of the organic matter, structural construction of minerals, and related mechanical interaction, etc., could help to reveal the unique nature of the special mineralization process. Herein, the paper provides an overview of the biomineralization process from the perspective of molecular vibrational spectroscopy, including the physicochemical properties of biomineralized tissues, from physiological to applied mineralization. These physicochemical characteristics closely to the hierarchical mineralization process include biological crystal defects, chemical bonding, atomic doping, structural changes, and content changes in organic matter, along with the interface between biocrystals and organic matter as well as the specific mechanical effects for hardness and toughness. Based on those observations, the special physiological properties of mineralization for enamel and bone, as well as the possible mechanism of pathological mineralization and calcification such as atherosclerosis, tumor micro mineralization, and urolithiasis are also reviewed and discussed. Indeed, the clearly defined physicochemical properties of mineral crystals could pave the way for studies on the mechanisms and applications.
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Affiliation(s)
- Hao Liu
- State Key Laboratory of Digital Medical EngineeringSchool of Biological Science and Medical EngineeringSoutheast UniversityNanjingJiangsuChina
| | - Hui Jiang
- State Key Laboratory of Digital Medical EngineeringSchool of Biological Science and Medical EngineeringSoutheast UniversityNanjingJiangsuChina
| | - Xiaohui Liu
- State Key Laboratory of Digital Medical EngineeringSchool of Biological Science and Medical EngineeringSoutheast UniversityNanjingJiangsuChina
| | - Xuemei Wang
- State Key Laboratory of Digital Medical EngineeringSchool of Biological Science and Medical EngineeringSoutheast UniversityNanjingJiangsuChina
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13
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Liu Y, Li M, Liu H, Kang C, Yu X. Strategies and Progress of Raman Technologies for Cellular Uptake Analysis of the Drug Delivery Systems. Int J Nanomedicine 2023; 18:6883-6900. [PMID: 38026519 PMCID: PMC10674749 DOI: 10.2147/ijn.s435087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/06/2023] [Indexed: 12/01/2023] Open
Abstract
Nanoparticle (NP)-based drug delivery systems have the potential to significantly enhance the pharmacological and therapeutic properties of drugs. These systems enhance the bioavailability and biocompatibility of pharmaceutical agents via enabling targeted delivery to specific tissues or organs. However, the efficacy and safety of these systems are largely dependent on the cellular uptake and intracellular transport of NPs. Thus, it is crucial to monitor the intracellular behavior of NPs within a single cell. Yet, it is challenging due to the complexity and size of the cell. Recently, the development of the Raman instrumentation offers a versatile tool to allow noninvasive cellular measurements. The primary objective of this review is to highlight the most recent advancements in Raman techniques (spontaneous Raman scattering, bioorthogonal Raman scattering, coherence Raman scattering, and surface-enhanced Raman scattering) when it comes to assessing the internalization of NP-based drug delivery systems and their subsequent movement within cells.
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Affiliation(s)
- Yajuan Liu
- Key Laboratory of Molecular Target & Clinical Pharmacology, and the NMPA & State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, 511436, People’s Republic of China
| | - Mei Li
- School of Chemistry and Chemical Engineering, Guizhou University, Guiyang, 550025, People’s Republic of China
| | - Haisha Liu
- School of Chemistry and Chemical Engineering, Guizhou University, Guiyang, 550025, People’s Republic of China
| | - Chao Kang
- School of Chemistry and Chemical Engineering, Guizhou University, Guiyang, 550025, People’s Republic of China
| | - Xiyong Yu
- Key Laboratory of Molecular Target & Clinical Pharmacology, and the NMPA & State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, 511436, People’s Republic of China
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14
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Spencer-Dene B, Mukherjee P, Alex A, Bera K, Tseng WJ, Shi J, Chaney EJ, Spillman DR, Marjanovic M, Miranda E, Boppart SA, Hood SR. Localization of unlabeled bepirovirsen antisense oligonucleotide in murine tissues using in situ hybridization and CARS imaging. RNA (NEW YORK, N.Y.) 2023; 29:1575-1590. [PMID: 37460153 PMCID: PMC10578491 DOI: 10.1261/rna.079699.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 06/29/2023] [Indexed: 09/20/2023]
Abstract
Current methods for detecting unlabeled antisense oligonucleotide (ASO) drugs rely on immunohistochemistry (IHC) and/or conjugated molecules, which lack sufficient sensitivity, specificity, and resolution to fully investigate their biodistribution. Our aim was to demonstrate the qualitative and quantitative distribution of unlabeled bepirovirsen, a clinical stage ASO, in livers and kidneys of dosed mice using novel staining and imaging technologies at subcellular resolution. ASOs were detected in formalin-fixed paraffin-embedded (FFPE) and frozen tissues using an automated chromogenic in situ hybridization (ISH) assay: miRNAscope. This was then combined with immunohistochemical detection of cell lineage markers. ASO distribution in hepatocytes versus nonparenchymal cell lineages was quantified using HALO AI image analysis. To complement this, hyperspectral coherent anti-Stokes Raman scattering (HS-CARS) imaging microscopy was used to specifically detect the unique cellular Raman spectral signatures following ASO treatment. Bepirovirsen was localized primarily in nonparenchymal liver cells and proximal renal tubules. Codetection of ASO with distinct cell lineage markers of liver and kidney populations aided target cell identity facilitating quantification. Positive liver signal was quantified using HALO AI, with 12.9% of the ASO localized to the hepatocytes and 87.1% in nonparenchymal cells. HS-CARS imaging specifically detected ASO fingerprints based on the unique vibrational signatures following unlabeled ASO treatment in a totally nonperturbative manner at subcellular resolution. Together, these novel detection and imaging modalities represent a significant increase in our ability to detect unlabeled ASOs in tissues, demonstrating improved levels of specificity and resolution. These methods help us understand their underlying mechanisms of action and ultimately improve the therapeutic potential of these important drugs for treating globally significant human diseases.
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Affiliation(s)
- Bradley Spencer-Dene
- In Vitro/In Vivo Translation, BioImaging, GSK, Stevenage SG1 2NY, United Kingdom
| | - Prabuddha Mukherjee
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Aneesh Alex
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- In Vitro/In Vivo Translation, BioImaging, GSK, Upper Providence, Pennsylvania 19426, USA
| | - Kajari Bera
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Wei-Ju Tseng
- In Vitro/In Vivo Translation, BioImaging, GSK, Upper Providence, Pennsylvania 19426, USA
| | - Jindou Shi
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Eric J Chaney
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Darold R Spillman
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Marina Marjanovic
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Elena Miranda
- In Vitro/In Vivo Translation, BioImaging, GSK, Stevenage SG1 2NY, United Kingdom
| | - Stephen A Boppart
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Steve R Hood
- In Vitro/In Vivo Translation, BioImaging, GSK, Stevenage SG1 2NY, United Kingdom
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
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15
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Baek S, Nah S, Park JY, Lee SJ, Kang YG, Kwon SH, Oh SJ, Lee KP, Moon BS. A novel chalcone derivative exerts anticancer effects by promoting apoptotic cell death of human pancreatic cancer cells. Bioorg Med Chem 2023; 93:117458. [PMID: 37634418 DOI: 10.1016/j.bmc.2023.117458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 08/29/2023]
Abstract
Aggressive pancreatic cancer is typically treated using chemotherapeutics to reduce the tumor pre-operatively and prevent metastasis post-operatively, as well as surgical approaches. In the present study, we synthesized a hydroxyl group-introduced chalcone derivative (1, IC50 = 32.1 μM) and investigated its potential as an anticancer drug candidate by evaluating its apoptosis-promoting effects on BXPC-3 cancer cells. The viability of BXPC-3 cells treated with 1 was measured using the water-soluble tetrazolium 1 reagent. BXPC-3 cells induced by 1 were stained with diverse probes or antibodies, such as ethidium homodimer-1, Hoechst, anti-Ki67, and MitoTracker. Protein expression was measured using an immunoblotting assay, and mRNA expression was determined using real-time polymerase chain reaction. Apoptotic molecular features, such as lipid accumulation and protein degradation, were monitored directly using stimulated Raman scattering microspectroscopy. Through incubation time- and concentration-dependent studies of 1, we found that it significantly reduced the proliferation and increased the number of apoptotic BXPC-3 cells. Compound 1 induced mitochondrial dysfunction, phosphorylation of p38, and caspase 3 cleavage. These results indicate that 1 is a potential therapeutic agent for pancreatic cancer, providing valuable insights into the development of new anticancer drug candidates.
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Affiliation(s)
- Suji Baek
- Research & Development Center, UMUST R&D Corporation, Seoul 01411, South Korea
| | - Sanghee Nah
- Seoul Center, Korea Basic Science Institute, Seoul 02841, South Korea
| | - Joo Yeon Park
- Research & Development Center, UMUST R&D Corporation, Seoul 01411, South Korea
| | - Sang Ju Lee
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, South Korea
| | - Yong Gil Kang
- Research & Development Center, UMUST R&D Corporation, Seoul 01411, South Korea
| | - Seung Hae Kwon
- Seoul Center, Korea Basic Science Institute, Seoul 02841, South Korea
| | - Seung Jun Oh
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, South Korea
| | - Kang Pa Lee
- Research & Development Center, UMUST R&D Corporation, Seoul 01411, South Korea.
| | - Byung Seok Moon
- Department of Nuclear Medicine, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul 07804, South Korea.
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16
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Bresci A, Kim JH, Ghislanzoni S, Manetti F, Wu L, Vernuccio F, Ceconello C, Sorrentino S, Barman I, Bongarzone I, Cerullo G, Vanna R, Polli D. Noninvasive morpho-molecular imaging reveals early therapy-induced senescence in human cancer cells. SCIENCE ADVANCES 2023; 9:eadg6231. [PMID: 37703362 PMCID: PMC10881071 DOI: 10.1126/sciadv.adg6231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 08/11/2023] [Indexed: 09/15/2023]
Abstract
Anticancer therapy screening in vitro identifies additional treatments and improves clinical outcomes. Systematically, although most tested cells respond to cues with apoptosis, an appreciable portion enters a senescent state, a critical condition potentially driving tumor resistance and relapse. Conventional screening protocols would strongly benefit from prompt identification and monitoring of therapy-induced senescent (TIS) cells in their native form. We combined complementary all-optical, label-free, and quantitative microscopy techniques, based on coherent Raman scattering, multiphoton absorption, and interferometry, to explore the early onset and progression of this phenotype, which has been understudied in unperturbed conditions. We identified TIS manifestations as early as 24 hours following treatment, consisting of substantial mitochondrial rearrangement and increase of volume and dry mass, followed by accumulation of lipid vesicles starting at 72 hours. This work holds the potential to affect anticancer treatment research, by offering a label-free, rapid, and accurate method to identify initial TIS in tumor cells.
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Affiliation(s)
- Arianna Bresci
- Department of Physics, Politecnico di Milano, Milan, Italy
| | - Jeong Hee Kim
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Silvia Ghislanzoni
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | | | - Lintong Wu
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | | | | | | | - Ishan Barman
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Italia Bongarzone
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Giulio Cerullo
- Department of Physics, Politecnico di Milano, Milan, Italy
- CNR-Institute for Photonics and Nanotechnologies (CNR-IFN), Milan, Italy
| | - Renzo Vanna
- CNR-Institute for Photonics and Nanotechnologies (CNR-IFN), Milan, Italy
| | - Dario Polli
- Department of Physics, Politecnico di Milano, Milan, Italy
- CNR-Institute for Photonics and Nanotechnologies (CNR-IFN), Milan, Italy
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17
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Tan Y, Lin H, Cheng JX. Profiling single cancer cell metabolism via high-content SRS imaging with chemical sparsity. SCIENCE ADVANCES 2023; 9:eadg6061. [PMID: 37585522 PMCID: PMC10431717 DOI: 10.1126/sciadv.adg6061] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 07/14/2023] [Indexed: 08/18/2023]
Abstract
Metabolic reprogramming in a subpopulation of cancer cells is a hallmark of tumor chemoresistance. However, single-cell metabolic profiling is difficult because of the lack of a method that can simultaneously detect multiple metabolites at the single-cell level. In this study, through hyperspectral stimulated Raman scattering (hSRS) imaging in the carbon-hydrogen (C-H) window and sparsity-driven hyperspectral image decomposition, we demonstrate a high-content hSRS (h2SRS) imaging approach that enables the simultaneous mapping of five major biomolecules, including proteins, carbohydrates, fatty acids, cholesterol, and nucleic acids at the single-cell level. h2SRS imaging of brain and pancreatic cancer cells under chemotherapy revealed acute and adapted chemotherapy-induced metabolic reprogramming and the unique metabolic features of chemoresistance. Our approach is expected to facilitate the discovery of therapeutic targets to combat chemoresistance. This study illustrates a high-content, label-free chemical imaging approach that measures metabolic profiles at the single-cell level and warrants further research on cellular metabolism.
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Affiliation(s)
- Yuying Tan
- Biomedical Engineering, Boston University, Boston, MA 02155, USA
| | - Haonan Lin
- Biomedical Engineering, Boston University, Boston, MA 02155, USA
| | - Ji-Xin Cheng
- Biomedical Engineering, Boston University, Boston, MA 02155, USA
- Electrical and Computer Engineering, Boston University, Boston, MA 02155, USA
- Photonics Center, Boston University, Boston, MA 02155, USA
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18
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Pan S, Ding A, Li Y, Sun Y, Zhan Y, Ye Z, Song N, Peng B, Li L, Huang W, Shao H. Small-molecule probes from bench to bedside: advancing molecular analysis of drug-target interactions toward precision medicine. Chem Soc Rev 2023; 52:5706-5743. [PMID: 37525607 DOI: 10.1039/d3cs00056g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
Over the past decade, remarkable advances have been witnessed in the development of small-molecule probes. These molecular tools have been widely applied for interrogating proteins, pathways and drug-target interactions in preclinical research. While novel structures and designs are commonly explored in probe development, the clinical translation of small-molecule probes remains limited, primarily due to safety and regulatory considerations. Recent synergistic developments - interfacing novel chemical probes with complementary analytical technologies - have introduced and expedited diverse biomedical opportunities to molecularly characterize targeted drug interactions directly in the human body or through accessible clinical specimens (e.g., blood and ascites fluid). These integrated developments thus offer unprecedented opportunities for drug development, disease diagnostics and treatment monitoring. In this review, we discuss recent advances in the structure and design of small-molecule probes with novel functionalities and the integrated development with imaging, proteomics and other emerging technologies. We further highlight recent applications of integrated small-molecule technologies for the molecular analysis of drug-target interactions, including translational applications and emerging opportunities for whole-body imaging, tissue-based measurement and blood-based analysis.
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Affiliation(s)
- Sijun Pan
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen 361005, China.
| | - Aixiang Ding
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen 361005, China.
| | - Yisi Li
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen 361005, China.
| | - Yaxin Sun
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen 361005, China.
| | - Yueqin Zhan
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen 361005, China.
| | - Zhenkun Ye
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen 361005, China.
| | - Ning Song
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen 361005, China.
| | - Bo Peng
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an 710072, China
| | - Lin Li
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen 361005, China.
| | - Wei Huang
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen 361005, China.
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an 710072, China
| | - Huilin Shao
- Institute for Health Innovation & Technology, National University of Singapore, Singapore 117599, Singapore.
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore 117583, Singapore
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19
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Shi J, Bera K, Mukherjee P, Alex A, Chaney EJ, Spencer-Dene B, Majer J, Marjanovic M, Spillman DR, Hood SR, Boppart SA. Weakly Supervised Identification and Localization of Drug Fingerprints Based on Label-Free Hyperspectral CARS Microscopy. Anal Chem 2023. [PMID: 37450658 PMCID: PMC10372874 DOI: 10.1021/acs.analchem.3c00979] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
Understanding drug fingerprints in complex biological samples is essential for the development of a drug. Hyperspectral coherent anti-Stokes Raman scattering (HS-CARS) microscopy, a label-free nondestructive chemical imaging technique, can profile biological samples based on their endogenous vibrational contrast. Here, we propose a deep learning-assisted HS-CARS imaging approach for the investigation of drug fingerprints and their localization at single-cell resolution. To identify and localize drug fingerprints in complex biological systems, an attention-based deep neural network, hyperspectral attention net (HAN), was developed. By formulating the task to a multiple instance learning problem, HAN highlights informative regions through the attention mechanism when being trained on whole-image labels. Using the proposed technique, we investigated the drug fingerprints of a hepatitis B virus therapy in murine liver tissues. With the increase in drug dosage, higher classification accuracy was observed, with an average area under the curve (AUC) of 0.942 for the high-dose group. Besides, highly informative tissue structures predicted by HAN demonstrated a high degree of similarity with the drug localization shown by the in situ hybridization staining results. These results demonstrate the potential of the proposed deep learning-assisted optical imaging technique for the label-free profiling, identification, and localization of drug fingerprints in biological samples, which can be extended to nonperturbative investigations of complex biological systems under various biological conditions.
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Affiliation(s)
- Jindou Shi
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Kajari Bera
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Prabuddha Mukherjee
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Aneesh Alex
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- In vitro/In vivo Translation, Research, GSK, Collegeville, Pennsylvania 19426, United States
| | - Eric J Chaney
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | | | - Jan Majer
- In vitro/In vivo Translation, Research, GSK, Stevenage SG1 2NY, U.K
| | - Marina Marjanovic
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Darold R Spillman
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Steve R Hood
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- In vitro/In vivo Translation, Research, GSK, Stevenage SG1 2NY, U.K
| | - Stephen A Boppart
- GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
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20
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Yao M, Vaithiyanathan M, Allbritton NL. Analytical Techniques for Single-Cell Biochemical Assays of Lipids. Annu Rev Biomed Eng 2023; 25:281-309. [PMID: 37068764 PMCID: PMC11032153 DOI: 10.1146/annurev-bioeng-110220-034007] [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] [Indexed: 04/19/2023]
Abstract
Lipids are essential cellular components forming membranes, serving as energy reserves, and acting as chemical messengers. Dysfunction in lipid metabolism and signaling is associated with a wide range of diseases including cancer and autoimmunity. Heterogeneity in cell behavior including lipid signaling is increasingly recognized as a driver of disease and drug resistance. This diversity in cellular responses as well as the roles of lipids in health and disease drive the need to quantify lipids within single cells. Single-cell lipid assays are challenging due to the small size of cells (∼1 pL) and the large numbers of lipid species present at concentrations spanning orders of magnitude. A growing number of methodologies enable assay of large numbers of lipid analytes, perform high-resolution spatial measurements, or permit highly sensitive lipid assays in single cells. Covered in this review are mass spectrometry, Raman imaging, and fluorescence-based assays including microscopy and microseparations.
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Affiliation(s)
- Ming Yao
- Department of Bioengineering, University of Washington, Seattle, Washington, USA; , ,
| | | | - Nancy L Allbritton
- Department of Bioengineering, University of Washington, Seattle, Washington, USA; , ,
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21
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Clark MG, Ma S, Mahapatra S, Mohn KJ, Zhang C. Chemical-imaging-guided optical manipulation of biomolecules. Front Chem 2023; 11:1198670. [PMID: 37214479 PMCID: PMC10196011 DOI: 10.3389/fchem.2023.1198670] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 04/20/2023] [Indexed: 05/24/2023] Open
Abstract
Chemical imaging via advanced optical microscopy technologies has revealed remarkable details of biomolecules in living specimens. However, the ways to control chemical processes in biological samples remain preliminary. The lack of appropriate methods to spatially regulate chemical reactions in live cells in real-time prevents investigation of site-specific molecular behaviors and biological functions. Chemical- and site-specific control of biomolecules requires the detection of chemicals with high specificity and spatially precise modulation of chemical reactions. Laser-scanning optical microscopes offer great platforms for high-speed chemical detection. A closed-loop feedback control system, when paired with a laser scanning microscope, allows real-time precision opto-control (RPOC) of chemical processes for dynamic molecular targets in live cells. In this perspective, we briefly review recent advancements in chemical imaging based on laser scanning microscopy, summarize methods developed for precise optical manipulation, and highlight a recently developed RPOC technology. Furthermore, we discuss future directions of precision opto-control of biomolecules.
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Affiliation(s)
| | - Seohee Ma
- Department of Chemistry, West Lafayette, IN, United States
| | | | | | - Chi Zhang
- Department of Chemistry, West Lafayette, IN, United States
- Purdue Center for Cancer Research, West Lafayette, IN, United States
- Purdue Institute of Inflammation, Immunology and Infectious Disease, Purdue University, West Lafayette, IN, United States
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22
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Ranasinghesagara JC, Potma EO, Venugopalan V. Modeling nonlinear optical microscopy in scattering media, part I. Propagation from lens to focal volume: tutorial. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA. A, OPTICS, IMAGE SCIENCE, AND VISION 2023; 40:867-882. [PMID: 37133184 PMCID: PMC10607893 DOI: 10.1364/josaa.478712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 03/11/2023] [Indexed: 05/04/2023]
Abstract
The development and application of nonlinear optical (NLO) microscopy methods in biomedical research have experienced rapid growth over the past three decades. Despite the compelling power of these methods, optical scattering limits their practical use in biological tissues. This tutorial offers a model-based approach illustrating how analytical methods from classical electromagnetism can be employed to comprehensively model NLO microscopy in scattering media. In Part I, we quantitatively model focused beam propagation in non-scattering and scattering media from the lens to focal volume. In Part II, we model signal generation, radiation, and far-field detection. Moreover, we detail modeling approaches for major optical microscopy modalities including classical fluorescence, multi-photon fluorescence, second harmonic generation, and coherent anti-Stokes Raman microscopy.
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Affiliation(s)
- Janaka C. Ranasinghesagara
- Department of Chemical and Biomolecular Engineering, University of California, Irvine, California 92697, USA
- Beckman Laser Institute and Medical Clinic, University of California, Irvine, California 92697, USA
| | - Eric O. Potma
- Beckman Laser Institute and Medical Clinic, University of California, Irvine, California 92697, USA
- Department of Chemistry, University of California, Irvine, California 92697, USA
| | - Vasan Venugopalan
- Department of Chemical and Biomolecular Engineering, University of California, Irvine, California 92697, USA
- Beckman Laser Institute and Medical Clinic, University of California, Irvine, California 92697, USA
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23
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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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24
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Ferrer Ortas J, Mahou P, Escot S, Stringari C, David NB, Bally-Cuif L, Dray N, Négrerie M, Supatto W, Beaurepaire E. Label-free imaging of red blood cells and oxygenation with color third-order sum-frequency generation microscopy. LIGHT, SCIENCE & APPLICATIONS 2023; 12:29. [PMID: 36702815 PMCID: PMC9879988 DOI: 10.1038/s41377-022-01064-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 12/09/2022] [Accepted: 12/22/2022] [Indexed: 06/18/2023]
Abstract
Mapping red blood cells (RBCs) flow and oxygenation is of key importance for analyzing brain and tissue physiology. Current microscopy methods are limited either in sensitivity or in spatio-temporal resolution. In this work, we introduce a novel approach based on label-free third-order sum-frequency generation (TSFG) and third-harmonic generation (THG) contrasts. First, we propose a novel experimental scheme for color TSFG microscopy, which provides simultaneous measurements at several wavelengths encompassing the Soret absorption band of hemoglobin. We show that there is a strong three-photon (3P) resonance related to the Soret band of hemoglobin in THG and TSFG signals from zebrafish and human RBCs, and that this resonance is sensitive to RBC oxygenation state. We demonstrate that our color TSFG implementation enables specific detection of flowing RBCs in zebrafish embryos and is sensitive to RBC oxygenation dynamics with single-cell resolution and microsecond pixel times. Moreover, it can be implemented on a 3P microscope and provides label-free RBC-specific contrast at depths exceeding 600 µm in live adult zebrafish brain. Our results establish a new multiphoton contrast extending the palette of deep-tissue microscopy.
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Affiliation(s)
- Júlia Ferrer Ortas
- Laboratory for Optics and Biosciences, CNRS, INSERM, École polytechnique, IP Paris, 91128, Palaiseau, France
| | - Pierre Mahou
- Laboratory for Optics and Biosciences, CNRS, INSERM, École polytechnique, IP Paris, 91128, Palaiseau, France
| | - Sophie Escot
- Laboratory for Optics and Biosciences, CNRS, INSERM, École polytechnique, IP Paris, 91128, Palaiseau, France
| | - Chiara Stringari
- Laboratory for Optics and Biosciences, CNRS, INSERM, École polytechnique, IP Paris, 91128, Palaiseau, France
| | - Nicolas B David
- Laboratory for Optics and Biosciences, CNRS, INSERM, École polytechnique, IP Paris, 91128, Palaiseau, France
| | - Laure Bally-Cuif
- Zebrafish Neurogenetics Unit, team supported by Ligue Nationale contre le Cancer, Institut Pasteur, CNRS, 75015, Paris, France
| | - Nicolas Dray
- Zebrafish Neurogenetics Unit, team supported by Ligue Nationale contre le Cancer, Institut Pasteur, CNRS, 75015, Paris, France
| | - Michel Négrerie
- Laboratory for Optics and Biosciences, CNRS, INSERM, École polytechnique, IP Paris, 91128, Palaiseau, France
| | - Willy Supatto
- Laboratory for Optics and Biosciences, CNRS, INSERM, École polytechnique, IP Paris, 91128, Palaiseau, France
| | - Emmanuel Beaurepaire
- Laboratory for Optics and Biosciences, CNRS, INSERM, École polytechnique, IP Paris, 91128, Palaiseau, France.
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25
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Jia H, Liu J, Fang T, Zhou Z, Li R, Yin W, Qian Y, Wang Q, Zhou W, Liu C, Sun D, Chen X, Ouyang Z, Dong J, Wang Y, Yue S. The role of altered lipid composition and distribution in liver fibrosis revealed by multimodal nonlinear optical microscopy. SCIENCE ADVANCES 2023; 9:eabq2937. [PMID: 36638165 PMCID: PMC9839333 DOI: 10.1126/sciadv.abq2937] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 12/12/2022] [Indexed: 06/17/2023]
Abstract
Intracellular lipid accumulation is commonly seen in fibrotic livers, but its exact role in liver fibrosis remains elusive. Here, we established a multimodal nonlinear optical microscopy to quantitatively map distribution of biomolecules in fibrotic livers. Our data revealed that unsaturated triglycerides were predominantly accumulated in central vein area during liver fibrosis but not in portal vein area. Moreover, the lipid homeostasis was remarkably dysregulated in the late-stage compared to the early-stage fibrosis, including increased unsaturated triglycerides with decreased lipid unsaturation degree and decreased membrane fluidity. Such alterations were likely due to up-regulated lipogenesis, desaturation, and peroxidation, which consequently led to endoplasmic reticulum stress and cell death. Inspiringly, injured hepatocyte could be rescued by remodeling lipid homeostasis via either supply of unsaturated fatty acids or enhancement of membrane fluidity. Collectively, our study improves current understanding of the role of lipid homeostasis in fibrosis and open opportunities for treatment.
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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
| | - Juan Liu
- Hepato-Pancreato-Biliary Center, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China
- Research Unit of Precision Hepatobiliary Surgery Paradigm, Chinese Academy of Medical Sciences, Beijing, 102218, China
| | - Tinghe Fang
- 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
| | - Zhen Zhou
- 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
| | - Ruihong Li
- Hepato-Pancreato-Biliary Center, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China
- Research Unit of Precision Hepatobiliary Surgery Paradigm, Chinese Academy of Medical Sciences, Beijing, 102218, China
| | - Wenzhen Yin
- Clinical Translational Science Center, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China
| | - Yao Qian
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084, China
| | - Qi Wang
- Hepato-Pancreato-Biliary Center, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China
- Research Unit of Precision Hepatobiliary Surgery Paradigm, Chinese Academy of Medical Sciences, Beijing, 102218, China
| | - Wanhui Zhou
- 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
| | - Chang Liu
- 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
| | - Dingcheng Sun
- 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
| | - Xun Chen
- 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
| | - Zheng Ouyang
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084, China
| | - Jiahong Dong
- Hepato-Pancreato-Biliary Center, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China
- Research Unit of Precision Hepatobiliary Surgery Paradigm, Chinese Academy of Medical Sciences, Beijing, 102218, China
| | - Yunfang Wang
- Hepato-Pancreato-Biliary Center, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, China
- Research Unit of Precision Hepatobiliary Surgery Paradigm, Chinese Academy of Medical Sciences, Beijing, 102218, China
- Clinical Translational Science Center, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing 102218, 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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26
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Wallmeier K, Würthwein T, Lemberger N, Brinkmann M, Hellwig T, Fallnich C. Frequency modulation stimulated Raman scattering scheme for real-time background correction with a single light source. BIOMEDICAL OPTICS EXPRESS 2023; 14:315-325. [PMID: 36698676 PMCID: PMC9841997 DOI: 10.1364/boe.476513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/17/2022] [Accepted: 11/21/2022] [Indexed: 06/17/2023]
Abstract
A frequency modulation (FM) scheme for stimulated Raman scattering (SRS) is presented with a single fiber-based light source. Pulse-to-pulse wavelength-switching allows real-time subtraction of parasitic signals leaving only the resonant SRS signal with a noise reduction of up to 30 % compared to digital subtraction schemes, leading effectively to a contrast improvement by a factor of up to 8.3. The wide tuning range of the light source from 1500 cm-1 to 3000 cm-1 and the possibility to separately adjust the resonant and the nonresonant wavenumber for every specimen allow to investigate a variety of samples with high contrast and high signal-to-noise ratio, e. g., for medical diagnostics.
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Affiliation(s)
- Kristin Wallmeier
- University of Münster
, Institute of Applied Physics, Corrensstraße 2, 48149 Münster, Germany
| | - Thomas Würthwein
- University of Münster
, Institute of Applied Physics, Corrensstraße 2, 48149 Münster, Germany
| | - Nick Lemberger
- University of Münster
, Institute of Applied Physics, Corrensstraße 2, 48149 Münster, Germany
| | | | - Tim Hellwig
- Refined Laser Systems GmbH, Mendelstraße 11, 48149 Münster, Germany
| | - Carsten Fallnich
- University of Münster
, Institute of Applied Physics, Corrensstraße 2, 48149 Münster, Germany
- University of Münster, Cells in Motion Interfaculty Centre, Münster, Germany
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27
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Gao Z, Cheng X, Yue J, Hao Q. Extendible ghost imaging with high reconstruction quality in strong scattering medium. OPTICS EXPRESS 2022; 30:45759-45775. [PMID: 36522974 DOI: 10.1364/oe.474579] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 11/17/2022] [Indexed: 06/17/2023]
Abstract
Ghost imaging (GI) possesses significant application prospects in scattering imaging, which is a classic example of underdetermined conversion problem in optical field. However, even under the framework of single-pixel imaging (SPI), a challenge remains unresolved, i.e., structured patterns may be damaged by scattering media in both the emissive and receiving optical paths. In this study, an extendible ghost imaging, a numerical reproduction of the qualitative process using deep learning (DL)-based GI is presented. First, we propose and experimentally verify a brief degradation-guided reconstruction (DR) approach with a neural network to demonstrate the degradation principle of scattering, including realistic dataset simulations and a new training structure in the form of a convolutional neural network (CNN). Then, a novel photon contribution model (PCM) with redundant parameters is proposed to generate intensity sequences from the forward direction through volumetric scattering media; the redundant parameters are constructed and relate to the special output configuration in a lightweight CNN with two branches, based on a reformulated atmospheric scattering model. The proposed scheme recovers the semantics of targets and suppresses the imaging noise in the strong scattering medium, and the obtained results are very satisfactory for applications to scattering media of more practical scenarios and are available for various scattering coefficients and work distances of an imaging prototype. After using DL methods in computational imaging, we conclude that strategies embedded in optics or broader physical factors can result in solutions with better effects for unanalyzable processes.
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28
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Patil N, Howe O, Cahill P, Byrne HJ. Monitoring and modelling the dynamics of the cellular glycolysis pathway: A review and future perspectives. Mol Metab 2022; 66:101635. [PMID: 36379354 PMCID: PMC9703637 DOI: 10.1016/j.molmet.2022.101635] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 10/28/2022] [Accepted: 11/06/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND The dynamics of the cellular glycolysis pathway underpin cellular function and dysfunction, and therefore ultimately health, disease, diagnostic and therapeutic strategies. Evolving our understanding of this fundamental process and its dynamics remains critical. SCOPE OF REVIEW This paper reviews the medical relevance of glycolytic pathway in depth and explores the current state of the art for monitoring and modelling the dynamics of the process. The future perspectives of label free, vibrational microspectroscopic techniques to overcome the limitations of the current approaches are considered. MAJOR CONCLUSIONS Vibrational microspectroscopic techniques can potentially operate in the niche area of limitations of other omics technologies for non-destructive, real-time, in vivo label-free monitoring of glycolysis dynamics at a cellular and subcellular level.
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Affiliation(s)
- Nitin Patil
- FOCAS Research Institute, Technological University Dublin, City Campus, Camden Row, Dublin 8, Ireland; School of Physics and Optometric & Clinical Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland.
| | - Orla Howe
- School of Biological and Health Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland
| | - Paul Cahill
- School of Biotechnology, Dublin City University, Glasnevin, Dublin 9, Ireland
| | - Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, City Campus, Camden Row, Dublin 8, Ireland
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29
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Smith DR, Shivkumar S, Field J, Wilson JW, Rigneault H, Bartels RA. Nearly degenerate two-color impulsive coherent Raman hyperspectral imaging. OPTICS LETTERS 2022; 47:5841-5844. [PMID: 37219129 DOI: 10.1364/ol.467970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 09/20/2022] [Indexed: 05/24/2023]
Abstract
Impulsive stimulated Raman scattering (ISRS) is a robust technique for studying low frequency (<300 cm-1) Raman vibrational modes, but ISRS has faced difficulty in translation to an imaging modality. A primary challenge is the separation of the pump and probe pulses. Here we introduce and demonstrate a simple strategy for ISRS spectroscopy and hyperspectral imaging that uses complementary steep edge spectral filters to separate the probe beam detection from the pump and enables simple ISRS microscopy with a single-color ultrafast laser source. ISRS spectra are obtained that span from the fingerprint region down to <50 cm-1 vibrational modes. Hyperspectral imaging and polarization-dependent Raman spectra are also demonstrated.
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30
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Dodo K, Fujita K, Sodeoka M. Raman Spectroscopy for Chemical Biology Research. J Am Chem Soc 2022; 144:19651-19667. [PMID: 36216344 PMCID: PMC9635364 DOI: 10.1021/jacs.2c05359] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Indexed: 11/29/2022]
Abstract
In chemical biology research, various fluorescent probes have been developed and used to visualize target proteins or molecules in living cells and tissues, yet there are limitations to this technology, such as the limited number of colors that can be detected simultaneously. Recently, Raman spectroscopy has been applied in chemical biology to overcome such limitations. Raman spectroscopy detects the molecular vibrations reflecting the structures and chemical conditions of molecules in a sample and was originally used to directly visualize the chemical responses of endogenous molecules. However, our initial research to develop "Raman tags" opens a new avenue for the application of Raman spectroscopy in chemical biology. In this Perspective, we first introduce the label-free Raman imaging of biomolecules, illustrating the biological applications of Raman spectroscopy. Next, we highlight the application of Raman imaging of small molecules using Raman tags for chemical biology research. Finally, we discuss the development and potential of Raman probes, which represent the next-generation probes in chemical biology.
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Affiliation(s)
- Kosuke Dodo
- Synthetic
Organic Chemistry Laboratory, RIKEN Cluster
for Pioneering Research, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Catalysis
and Integrated Research Group, RIKEN Center
for Sustainable Resource Science, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Katsumasa Fujita
- Department
of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
- Institute
for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka 565-0871, Japan
- AIST-Osaka
University Advanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science
and Technology (AIST), Suita, Osaka 565-0871, Japan
| | - Mikiko Sodeoka
- Synthetic
Organic Chemistry Laboratory, RIKEN Cluster
for Pioneering Research, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Catalysis
and Integrated Research Group, RIKEN Center
for Sustainable Resource Science, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
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31
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Lourenco A, Handschuh S, Fenelon M, Gómez-Mascaraque LG. X-ray computerized microtomography and confocal Raman microscopy as complementary techniques to conventional imaging tools for the microstructural characterization of Cheddar cheese. J Dairy Sci 2022; 105:9387-9403. [DOI: 10.3168/jds.2022-22048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 07/17/2022] [Indexed: 11/07/2022]
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32
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Lin P, Li C, Flores-Valle A, Wang Z, Zhang M, Cheng R, Cheng JX. Tilt-angle stimulated Raman projection tomography. OPTICS EXPRESS 2022; 30:37112-37123. [PMID: 36258628 PMCID: PMC9662602 DOI: 10.1364/oe.470527] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/08/2022] [Accepted: 09/09/2022] [Indexed: 06/02/2023]
Abstract
Stimulated Raman projection tomography is a label-free volumetric chemical imaging technology allowing three-dimensional (3D) reconstruction of chemical distribution in a biological sample from the angle-dependent stimulated Raman scattering projection images. However, the projection image acquisition process requires rotating the sample contained in a capillary glass held by a complicated sample rotation stage, limiting the volumetric imaging speed, and inhibiting the study of living samples. Here, we report a tilt-angle stimulated Raman projection tomography (TSPRT) system which acquires angle-dependent projection images by utilizing tilt-angle beams to image the sample from different azimuth angles sequentially. The TSRPT system, which is free of sample rotation, enables rapid scanning of different views by a tailor-designed four-galvo-mirror scanning system. We present the design of the optical system, the theory, and calibration procedure for chemical tomographic reconstruction. 3D vibrational images of polystyrene beads and C. elegans are demonstrated in the C-H vibrational region.
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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
| | - Chuan Li
- Department of Electrical and Computer Engineering, Boston University, 8 St. Mary’s St., Boston, MA 02215, USA
| | - Andres Flores-Valle
- Max Planck Institute for Neurobiology of Behavior–caesar (MPINB), Bonn, Germany, Bonn 53175, Germany
| | - Zian Wang
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston University, MA 02215, USA
| | - Meng Zhang
- Department of Electrical and Computer Engineering, Boston University, 8 St. Mary’s St., Boston, MA 02215, USA
| | - Ran Cheng
- Department of Chemistry,
Boston University, 590 Commonwealth Ave, Boston University, 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 Biomedical Engineering, Boston University, 44 Cummington Mall, Boston University, MA 02215, USA
- Department of Chemistry,
Boston University, 590 Commonwealth Ave, Boston University, Boston, MA 02215, USA
- Photonics Center,
Boston University, 8 St. Mary’s St., Boston, MA 02215, USA
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33
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Tan Y, Li J, Zhao G, Huang KC, Cardenas H, Wang Y, Matei D, Cheng JX. Metabolic reprogramming from glycolysis to fatty acid uptake and beta-oxidation in platinum-resistant cancer cells. Nat Commun 2022; 13:4554. [PMID: 35931676 PMCID: PMC9356138 DOI: 10.1038/s41467-022-32101-w] [Citation(s) in RCA: 66] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Accepted: 07/11/2022] [Indexed: 12/13/2022] Open
Abstract
Increased glycolysis is considered as a hallmark of cancer. Yet, cancer cell metabolic reprograming during therapeutic resistance development is under-studied. Here, through high-throughput stimulated Raman scattering imaging and single cell analysis, we find that cisplatin-resistant cells exhibit increased fatty acids (FA) uptake, accompanied by decreased glucose uptake and lipogenesis, indicating reprogramming from glucose to FA dependent anabolic and energy metabolism. A metabolic index incorporating glucose derived anabolism and FA uptake correlates linearly to the level of cisplatin resistance in ovarian cancer (OC) cell lines and primary cells. The increased FA uptake facilitates cancer cell survival under cisplatin-induced oxidative stress by enhancing beta-oxidation. Consequently, blocking beta-oxidation by a small molecule inhibitor combined with cisplatin or carboplatin synergistically suppresses OC proliferation in vitro and growth of patient-derived xenografts in vivo. Collectively, these findings support a rapid detection method of cisplatin-resistance at single cell level and a strategy for treating cisplatin-resistant tumors.
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Affiliation(s)
- Yuying Tan
- Biomedical Engineering, Boston University, Boston, MA, 02155, USA
| | - Junjie Li
- Electrical and Computer Engineering, Boston University, Boston, MA, 02155, USA.
| | - Guangyuan Zhao
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Kai-Chih Huang
- Biomedical Engineering, Boston University, Boston, MA, 02155, USA
| | - Horacio Cardenas
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Yinu Wang
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Daniela Matei
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
- Robert H. Lurie Comprehensive Cancer Center, Chicago, IL, 60611, USA.
| | - Ji-Xin Cheng
- Biomedical Engineering, Boston University, Boston, MA, 02155, USA.
- Electrical and Computer Engineering, Boston University, Boston, MA, 02155, USA.
- Photonics Center, Boston University, Boston, MA, 02155, USA.
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34
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Zavyalova E, Tikhonova D, Zhdanov G, Rudakova E, Alferova V, Moiseenko A, Kamzeeva P, Khrulev A, Zalevsky A, Arutyunyan A, Novikov R, Kukushkin V, Aralov A. SERS-based biosensor with Raman-active external responsive element for rapid determination of adenosine monophosphate. Anal Chim Acta 2022; 1221:340140. [DOI: 10.1016/j.aca.2022.340140] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/28/2022] [Accepted: 06/29/2022] [Indexed: 12/28/2022]
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35
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Clark MG, Gonzalez GA, Luo Y, Aldana-Mendoza JA, Carlsen MS, Eakins G, Dai M, Zhang C. Real-time precision opto-control of chemical processes in live cells. Nat Commun 2022; 13:4343. [PMID: 35896556 PMCID: PMC9329476 DOI: 10.1038/s41467-022-32071-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 07/15/2022] [Indexed: 11/29/2022] Open
Abstract
Precision control of molecular activities and chemical reactions in live cells is a long-sought capability by life scientists. No existing technology can probe molecular targets in cells and simultaneously control the activities of only these targets at high spatial precision. We develop a real-time precision opto-control (RPOC) technology that detects a chemical-specific optical response from molecular targets during laser scanning and uses the optical signal to couple a separate laser to only interact with these molecules without affecting other sample locations. We demonstrate precision control of molecular states of a photochromic molecule in different regions of the cells. We also synthesize a photoswitchable compound and use it with RPOC to achieve site-specific inhibition of microtubule polymerization and control of organelle dynamics in live cells. RPOC can automatically detect and control biomolecular activities and chemical processes in dynamic living samples with submicron spatial accuracy, fast response time, and high chemical specificity. There is a need to control molecular activities at high spatial precision. Here the authors report a real-time precision opto-control technology that detects a chemical-specific optical response from molecular targets, and precisely control photoswitchable microtubule polymerization inhibitors in cells.
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Affiliation(s)
- Matthew G Clark
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN, 47907, USA
| | - Gil A Gonzalez
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN, 47907, USA
| | - Yiyang Luo
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN, 47907, USA
| | - Jesus A Aldana-Mendoza
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN, 47907, USA
| | - Mark S Carlsen
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN, 47907, USA
| | - Gregory Eakins
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN, 47907, USA
| | - Mingji Dai
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN, 47907, USA.,Purdue Center for Cancer Research, 201 S. University St., West Lafayette, IN, 47907, USA
| | - Chi Zhang
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, IN, 47907, USA. .,Purdue Center for Cancer Research, 201 S. University St., West Lafayette, IN, 47907, USA. .,Purdue Institute of Inflammation, Immunology, and Infectious Disease, 207 S. Martin Jischke Dr., West Lafayette, IN, 47907, USA.
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36
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Brzozowski K, Matuszyk E, Pieczara A, Firlej J, Nowakowska AM, Baranska M. Stimulated Raman scattering microscopy in chemistry and life science - Development, innovation, perspectives. Biotechnol Adv 2022; 60:108003. [PMID: 35690271 DOI: 10.1016/j.biotechadv.2022.108003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 06/02/2022] [Accepted: 06/03/2022] [Indexed: 11/30/2022]
Abstract
In this review, we present a summary of the basics of the Stimulated Raman Scattering (SRS) phenomenon, methods of detecting the signal, and collection of the SRS images. We demonstrate the advantages of SRS imaging, and recent developments, but also the limitations, especially in image capture speeds and spatial resolution. We also compare the use of SRS microscopy in biological system studies with other techniques such as fluorescence microscopy, second-harmonic generation (SHG)-based microscopy, coherent anti-Stokes Raman scattering (CARS), and spontaneous Raman, and we show the compatibility of SRS-based systems with other discussed methods. The review is also focused on indicating innovations in SRS microscopy, on the background of which we present the layout and performance of our homemade setup built from commercially available elements enabling for imaging of the molecular structure of single cells over the spectral range of 800-3600 cm-1. Methods of image analysis are discussed, including machine learning methods for obtaining images of the distribution of selected molecules and for the detection of pathological lesions in tissues or malignant cells in the context of clinical diagnosis of a wide range of diseases with the use of SRS microscopy. Finally, perspectives for the development of SRS microscopy are proposed.
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Affiliation(s)
- K Brzozowski
- Faculty of Chemistry, Jagiellonian University, 2 Gronostajowa Str., 30-387 Krakow, Poland
| | - E Matuszyk
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, 14 Bobrzynskiego Str., 30-348 Krakow, Poland
| | - A Pieczara
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, 14 Bobrzynskiego Str., 30-348 Krakow, Poland
| | - J Firlej
- Faculty of Chemistry, Jagiellonian University, 2 Gronostajowa Str., 30-387 Krakow, Poland
| | - A M Nowakowska
- Faculty of Chemistry, Jagiellonian University, 2 Gronostajowa Str., 30-387 Krakow, Poland
| | - M Baranska
- Faculty of Chemistry, Jagiellonian University, 2 Gronostajowa Str., 30-387 Krakow, Poland; Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, 14 Bobrzynskiego Str., 30-348 Krakow, Poland.
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37
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Ranjan R, Costa G, Ferrara MA, Sansone M, Sirleto L. Noises investigations and image denoising in femtosecond stimulated Raman scattering microscopy. JOURNAL OF BIOPHOTONICS 2022; 15:e202100379. [PMID: 35324074 DOI: 10.1002/jbio.202100379] [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: 12/11/2021] [Revised: 03/12/2022] [Accepted: 03/21/2022] [Indexed: 06/14/2023]
Abstract
In the literature of SRS microscopy, the hardware characterization usually remains separate from the image processing. In this article, we consider both these aspects and statistical properties analysis of image noise, which plays the vital role of joining links between them. Firstly, we perform hardware characterization by systematic measurements of noise sources, demonstrating that our in-house built microscope is shot noise limited. Secondly, we analyze the statistical properties of the overall image noise, and we prove that the noise distribution can be dependent on image direction, whose origin is the use of a lock-in time constant longer than pixel dwell time. Finally, we compare the performances of two widespread general algorithms, that is, singular value decomposition and discrete wavelet transform, with a method, that is, singular spectrum analysis (SSA), which has been adapted for stimulated Raman scattering images. In order to validate our algorithms, in our investigations lipids droplets have been used and we demonstrate that the adapted SSA method provides an improvement in image denoising.
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Affiliation(s)
- Rajeev Ranjan
- National Research Council (CNR), Institute of Applied Sciences and Intelligent Systems, Napoli, Italy
- Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, New York, USA
| | - Giovanni Costa
- National Research Council (CNR), Institute of Applied Sciences and Intelligent Systems, Napoli, Italy
- Department of Electrical Engineering and Information Technologies (DIETI), University "Federico II" of Naples, Naples, Italy
| | - Maria Antonietta Ferrara
- National Research Council (CNR), Institute of Applied Sciences and Intelligent Systems, Napoli, Italy
| | - Mario Sansone
- Department of Electrical Engineering and Information Technologies (DIETI), University "Federico II" of Naples, Naples, Italy
| | - Luigi Sirleto
- National Research Council (CNR), Institute of Applied Sciences and Intelligent Systems, Napoli, Italy
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38
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Wang N, Ren F, Li L, Wang H, Wang L, Zeng Q, Song Y, Zeng T, Zhu S, Chen X. Quantitative chemical sensing of drugs in scattering media with Bessel beam Raman spectroscopy. BIOMEDICAL OPTICS EXPRESS 2022; 13:2488-2502. [PMID: 35519250 PMCID: PMC9045933 DOI: 10.1364/boe.455666] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/06/2022] [Accepted: 03/16/2022] [Indexed: 06/01/2023]
Abstract
Scattering can seriously affect the highly sensitive detection and quantitative analysis of chemical substances in scattering media and becomes a significant challenge for in vivo application of Raman spectroscopy. In this study, we demonstrated a proof of concept for using the self-reconstructing Bessel beam for Raman spectroscopic sensing of the chemicals in the handmade scattering media and biological tissue slices. The homebuilt Bessel beam Raman spectroscopy (BRS) was capable of accurately detecting the Raman spectra of the chemicals buried in the scattering media, and had a superiority in quantitative analysis. The feasibility of the developed technique was verified by detecting the Raman spectra of pure samples in air. Compared with the spectra acquired by the Gaussian beam Raman spectroscope, the performance of the BRS system in terms of Raman spectrum detection and Raman peak recognition was confirmed. Subsequently, by employing the technique for the detection of acetaminophen buried in the scattering media, the application of the new technology in detecting and quantitating the chemicals in the scattering media were underlined, offering greater detection depth and better linear quantification capability than the conventional Gaussian beam Raman spectroscopy. Finally, we explored the potential of the BRS system for chemical sensing of acetaminophen in biological tissue slices, indicating a significant development towards the evaluation of drug in vivo.
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Affiliation(s)
- Nan Wang
- Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, Xidian University, Xi’an, Shaanxi 710126, China
- Equal contributors
| | - Feng Ren
- Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, Xidian University, Xi’an, Shaanxi 710126, China
- Equal contributors
| | - Li Li
- Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, Xidian University, Xi’an, Shaanxi 710126, China
| | - Haoyu Wang
- Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, Xidian University, Xi’an, Shaanxi 710126, China
| | - Lin Wang
- School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, Shaanxi 710048, China
| | - Qi Zeng
- Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, Xidian University, Xi’an, Shaanxi 710126, China
| | - Yali Song
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Tingting Zeng
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Shouping Zhu
- Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, Xidian University, Xi’an, Shaanxi 710126, China
| | - Xueli Chen
- Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710126, China
- Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, Xidian University, Xi’an, Shaanxi 710126, China
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39
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Trends in pharmaceutical analysis and quality control by modern Raman spectroscopic techniques. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116623] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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40
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A Review of Raman-Based Technologies for Bacterial Identification and Antimicrobial Susceptibility Testing. PHOTONICS 2022. [DOI: 10.3390/photonics9030133] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Antimicrobial resistance (AMR) is a global medical threat that seriously endangers human health. Rapid bacterial identification and antimicrobial susceptibility testing (AST) are key interventions to combat the spread and emergence of AMR. Although current clinical bacterial identification and AST provide comprehensive information, they are labor-intensive, complex, inaccurate, and slow (requiring several days, depending on the growth of pathogenic bacteria). Recently, Raman-based identification and AST technologies have played an increasingly important role in fighting AMR. This review summarizes major Raman-based techniques for bacterial identification and AST, including spontaneous Raman scattering, surface-enhanced Raman scattering (SERS), and coherent Raman scattering (CRS) imaging. Then, we discuss recent developments in rapid identification and AST methods based on Raman technology. Finally, we highlight the major challenges and potential future efforts to improve clinical outcomes through rapid bacterial identification and AST.
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Zhang M, Seleem MN, Cheng JX. Rapid Antimicrobial Susceptibility Testing by Stimulated Raman Scattering Imaging of Deuterium Incorporation in a Single Bacterium. J Vis Exp 2022:10.3791/62398. [PMID: 35225259 PMCID: PMC9682461 DOI: 10.3791/62398] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2023] Open
Abstract
To slow and prevent the spread of antimicrobial resistant infections, rapid antimicrobial susceptibility testing (AST) is in urgent need to quantitatively determine the antimicrobial effects on pathogens. It typically takes days to complete the AST by conventional methods based on the long-time culture, and they do not work directly for clinical samples. Here, we report a rapid AST method enabled by stimulated Raman scattering (SRS) imaging of deuterium oxide (D2O) metabolic incorporation. Metabolic incorporation of D2O into biomass and the metabolic activity inhibition upon exposure to antibiotics at the single bacterium level are monitored by SRS imaging. The single-cell metabolism inactivation concentration (SC-MIC) of bacteria upon exposure to antibiotics can be obtained after a total of 2.5 h of sample preparation and detection. Furthermore, this rapid AST method is directly applicable to bacterial samples in complex biological environments, such as urine or whole blood. SRS metabolic imaging of deuterium incorporation is transformative for rapid single-cell phenotypic AST in the clinic.
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Affiliation(s)
- Meng Zhang
- Department of Electrical and Computer Engineering, Boston University; Boston University Photonics Center, Boston University
| | - Mohamed N Seleem
- Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University
| | - Ji-Xin Cheng
- Department of Electrical and Computer Engineering, Boston University; Boston University Photonics Center, Boston University; Department of Biomedical Engineering, Boston University; Department of Chemistry, Boston University;
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Sun B, Wang Z, Lin J, Chen C, Zheng G, Yue S, Wang H, Kang X, Chen X, Hong W, Wang P. Automatic quantitative analysis of metabolism inactivation concentration in single bacterium using stimulated Raman scattering microscopy with deep learning image segmentation. MEDICINE IN NOVEL TECHNOLOGY AND DEVICES 2022. [DOI: 10.1016/j.medntd.2022.100114] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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43
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Koike K, Smith NI, Fujita K. Spectral focusing in picosecond pulsed stimulated Raman scattering microscopy. BIOMEDICAL OPTICS EXPRESS 2022; 13:995-1004. [PMID: 35284158 PMCID: PMC8884224 DOI: 10.1364/boe.445640] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 12/14/2021] [Accepted: 12/20/2021] [Indexed: 06/14/2023]
Abstract
We introduce spectral focusing of picosecond laser pulses in stimulated Raman scattering (SRS) microscopy to improve spectral resolution, reduce nonlinear background signals, and decrease nonlinear photodamage. We produce a pair of 14 ps pump and Stokes laser pulses by spectral focusing of a 2 ps laser and achieve a spectral resolution of 2 cm-1. Due to instantaneous narrow-band excitation, we find that the chirped 14 ps laser pulses can be used to improve the signal-to-background ratio in SRS microscopy of various samples such as polymer particles and small molecules in HeLa cells. The lower peak powers produced by chirped picosecond laser pulses also reduce nonlinear photodamage, allowing long-term SRS imaging of living cells with higher SNR.
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Affiliation(s)
- Kota Koike
- Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
- AIST-Osaka University Advanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology (AIST), 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Nicholas I. Smith
- Immunology Frontier Research Center, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Katsumasa Fujita
- Department of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
- AIST-Osaka University Advanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology (AIST), 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
- Transdimensional Life Imaging Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
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Lipofuscin Granule Bisretinoid Oxidation in the Human Retinal Pigment Epithelium forms Cytotoxic Carbonyls. Int J Mol Sci 2021; 23:ijms23010222. [PMID: 35008647 PMCID: PMC8745408 DOI: 10.3390/ijms23010222] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 12/16/2021] [Accepted: 12/22/2021] [Indexed: 01/06/2023] Open
Abstract
Age-related macular degeneration (AMD) is the primary cause of central blindness among the elderly. AMD is associated with progressive accumulation of lipofuscin granules in retinal pigment epithelium (RPE) cells. Lipofuscin contains bisretinoid fluorophores, which are photosensitizers and are phototoxic to RPE and neuroretinal cells. In the presence of oxygen, bisretinoids are also oxidized, forming various products, consisting primarily of aldehydes and ketones, which are also potentially cytotoxic. In a prior study, we identified that in AMD, bisretinoid oxidation products are increased in RPE lipofuscin granules. The purpose of the present study was to determine if these products were toxic to cellular structures. The physicochemical characteristics of bisretinoid oxidation products in lipofuscin, which were obtained from healthy donor eyes, were studied. Raman spectroscopy and time-of-flight secondary ion mass spectrometry (ToF–SIMS) analysis identified the presence of free-state aldehydes and ketones within the lipofuscin granules. Together, fluorescence spectroscopy, high-performance liquid chromatography, and mass spectrometry revealed that bisretinoid oxidation products have both hydrophilic and amphiphilic properties, allowing their diffusion through lipofuscin granule membrane into the RPE cell cytoplasm. These products contain cytotoxic carbonyls, which can modify cellular proteins and lipids. Therefore, bisretinoid oxidation products are a likely aggravating factor in the pathogenesis of AMD.
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45
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Sun B, Kang X, Yue S, Lan L, Li R, Chen C, Zhang W, He S, Zhang C, Fan Y, Wang P, Zheng G, Hong W. A rapid procedure for bacterial identification and antimicrobial susceptibility testing directly from positive blood cultures. Analyst 2021; 147:147-154. [PMID: 34860216 DOI: 10.1039/d1an01210j] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
There is an urgent need to develop a rapid procedure that can rapidly identify and obtain antimicrobial susceptibility testing (AST) results directly from positive blood cultures. Here, we report a semi-automatic bacterial diagnosis procedure, which includes (1) a bacterial concentration process to isolate bacteria from a positive blood culture bottle (PBCB), (2) an identification process using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS), and (3) a rapid AST process based on stimulated Raman scattering imaging of deuterium oxide (D2O) incorporation in bacteria. A total of 105 samples were tested for bacterial identification, and a bacterial identification accuracy of 92.3% was achieved. AST takes about 2.5 h after identification. This semi-automatic procedure only takes 3.5 h, which is demonstrated to be the fastest process to obtain identification and AST results starting from PBCBs.
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Affiliation(s)
- Bo Sun
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China. .,Laboratory Diagnosis Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - Xixiong Kang
- Laboratory Diagnosis Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - Shuhua Yue
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
| | - Lu Lan
- Vibronix Inc., West Lafayette, IN, USA
| | - Rui Li
- Vibronix Inc., West Lafayette, IN, USA
| | - Chen Chen
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
| | - Weifeng Zhang
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
| | - Shipei He
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
| | - Chenxi Zhang
- Laboratory Diagnosis Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - Yubo Fan
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China. .,School of Medical Science and Engineering, Beihang University, Beijing, China
| | - Pu Wang
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
| | - Guanghui Zheng
- Laboratory Diagnosis Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - Weili Hong
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
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46
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Serebrennikova KV, Berlina AN, Sotnikov DV, Zherdev AV, Dzantiev BB. Raman Scattering-Based Biosensing: New Prospects and Opportunities. BIOSENSORS 2021; 11:512. [PMID: 34940269 PMCID: PMC8699498 DOI: 10.3390/bios11120512] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 12/10/2021] [Accepted: 12/11/2021] [Indexed: 05/02/2023]
Abstract
The growing interest in the development of new platforms for the application of Raman spectroscopy techniques in biosensor technologies is driven by the potential of these techniques in identifying chemical compounds, as well as structural and functional features of biomolecules. The effect of Raman scattering is a result of inelastic light scattering processes, which lead to the emission of scattered light with a different frequency associated with molecular vibrations of the identified molecule. Spontaneous Raman scattering is usually weak, resulting in complexities with the separation of weak inelastically scattered light and intense Rayleigh scattering. These limitations have led to the development of various techniques for enhancing Raman scattering, including resonance Raman spectroscopy (RRS) and nonlinear Raman spectroscopy (coherent anti-Stokes Raman spectroscopy and stimulated Raman spectroscopy). Furthermore, the discovery of the phenomenon of enhanced Raman scattering near metallic nanostructures gave impetus to the development of the surface-enhanced Raman spectroscopy (SERS) as well as its combination with resonance Raman spectroscopy and nonlinear Raman spectroscopic techniques. The combination of nonlinear and resonant optical effects with metal substrates or nanoparticles can be used to increase speed, spatial resolution, and signal amplification in Raman spectroscopy, making these techniques promising for the analysis and characterization of biological samples. This review provides the main provisions of the listed Raman techniques and the advantages and limitations present when applied to life sciences research. The recent advances in SERS and SERS-combined techniques are summarized, such as SERRS, SE-CARS, and SE-SRS for bioimaging and the biosensing of molecules, which form the basis for potential future applications of these techniques in biosensor technology. In addition, an overview is given of the main tools for success in the development of biosensors based on Raman spectroscopy techniques, which can be achieved by choosing one or a combination of the following approaches: (i) fabrication of a reproducible SERS substrate, (ii) synthesis of the SERS nanotag, and (iii) implementation of new platforms for on-site testing.
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Affiliation(s)
| | | | | | | | - Boris B. Dzantiev
- A.N. Bach Institute of Biochemistry, Research Center of Biotechnology, Russian Academy of Sciences, 119071 Moscow, Russia; (K.V.S.); (A.N.B.); (D.V.S.); (A.V.Z.)
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47
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Mandal A, Ziegler LD. Vibrational line shape effects in plasmon-enhanced stimulated Raman spectroscopies. J Chem Phys 2021; 155:194701. [PMID: 34800946 DOI: 10.1063/5.0067301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
A density matrix treatment of plasmon-enhanced (PE) stimulated Raman spectroscopies is developed. Specifically, PE stimulated Raman Gain/Loss (PE-SRG/L) and coherent anti-Stokes Raman scattering (PE-CARS) due to monochromatic excitation and PE femtosecond stimulated Raman spectroscopy (PE-FSRS) are considered. A Lorentz oscillator model is used to explicitly describe the time dependence of plasmon-enhanced optical fields. These temporal characteristics are required for a density matrix based description of all plasmon-enhanced nonlinear molecular spectroscopies. Dispersive vibrational line shapes in PE-SRG/L and PE-FSRS spectra are shown to result primarily from terms proportional to the square of the complex optical field enhancement factor. The dependence on the plasmon resonance, picosecond and femtosecond pulse characteristics, and molecular vibrational properties are evident in the density matrix derived PE-FSRS intensity expression. The difference in signal detection mechanisms accounts for the lack of dispersive line shapes in PE spontaneous Raman spectroscopy. This density matrix treatment of PE-FSRS line shapes is compared with prior coupled wave results.
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Affiliation(s)
- Aritra Mandal
- Intel Corporation, 2501 NW 229th Ave., Hillsboro, Oregon 97124, USA
| | - L D Ziegler
- Department of Chemistry, Photonics Center Boston University, Boston, Massachusetts 02215, USA
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48
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A New Look into Cancer-A Review on the Contribution of Vibrational Spectroscopy on Early Diagnosis and Surgery Guidance. Cancers (Basel) 2021; 13:cancers13215336. [PMID: 34771500 PMCID: PMC8582426 DOI: 10.3390/cancers13215336] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/14/2021] [Accepted: 10/18/2021] [Indexed: 02/05/2023] Open
Abstract
Simple Summary Cancer is a leading cause of death worldwide, with the detection of the disease in its early stages, as well as a correct assessment of the tumour margins, being paramount for a successful recovery. While breast cancer is one of most common types of cancer, head and neck cancer is one of the types of cancer with a lower prognosis and poor aesthetic results. Vibrational spectroscopy detects molecular vibrations, being sensitive to different sample compositions, even when the difference was slight. The use of spectroscopy in biomedicine has been extensively explored, since it allows a broader assessment of the biochemical fingerprint of several diseases. This literature review covers the most recent advances in breast and head and neck cancer early diagnosis and intraoperative margin assessment, through Raman and Fourier transform infrared spectroscopies. The rising field of spectral histopathology was also approached. The authors aimed at expounding in a more concise and simple way the challenges faced by clinicians and how vibrational spectroscopy has evolved to respond to those needs for the two types of cancer with the highest potential for improvement regarding an early diagnosis, surgical margin assessment and histopathology. Abstract In 2020, approximately 10 million people died of cancer, rendering this disease the second leading cause of death worldwide. Detecting cancer in its early stages is paramount for patients’ prognosis and survival. Hence, the scientific and medical communities are engaged in improving both therapeutic strategies and diagnostic methodologies, beyond prevention. Optical vibrational spectroscopy has been shown to be an ideal diagnostic method for early cancer diagnosis and surgical margins assessment, as a complement to histopathological analysis. Being highly sensitive, non-invasive and capable of real-time molecular imaging, Raman and Fourier transform infrared (FTIR) spectroscopies give information on the biochemical profile of the tissue under analysis, detecting the metabolic differences between healthy and cancerous portions of the same sample. This constitutes tremendous progress in the field, since the cancer-prompted morphological alterations often occur after the biochemical imbalances in the oncogenic process. Therefore, the early cancer-associated metabolic changes are unnoticed by the histopathologist. Additionally, Raman and FTIR spectroscopies significantly reduce the subjectivity linked to cancer diagnosis. This review focuses on breast and head and neck cancers, their clinical needs and the progress made to date using vibrational spectroscopy as a diagnostic technique prior to surgical intervention and intraoperative margin assessment.
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49
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Abdolghader P, Ridsdale A, Grammatikopoulos T, Resch G, Légaré F, Stolow A, Pegoraro AF, Tamblyn I. Unsupervised hyperspectral stimulated Raman microscopy image enhancement: denoising and segmentation via one-shot deep learning. OPTICS EXPRESS 2021; 29:34205-34219. [PMID: 34809216 DOI: 10.1364/oe.439662] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 09/26/2021] [Indexed: 06/13/2023]
Abstract
Hyperspectral stimulated Raman scattering (SRS) microscopy is a label-free technique for biomedical and mineralogical imaging which can suffer from low signal-to-noise ratios. Here we demonstrate the use of an unsupervised deep learning neural network for rapid and automatic denoising of SRS images: UHRED (Unsupervised Hyperspectral Resolution Enhancement and Denoising). UHRED is capable of "one-shot" learning; only one hyperspectral image is needed, with no requirements for training on previously labelled datasets or images. Furthermore, by applying a k-means clustering algorithm to the processed data, we demonstrate automatic, unsupervised image segmentation, yielding, without prior knowledge of the sample, intuitive chemical species maps, as shown here for a lithium ore sample.
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50
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Abstract
Abstract
We revisit low frequency coherent Raman spectroscopy (LF-CRS) and present a unified theoretical background that provides consistent physical pictures of LF-CRS signal generation. Our general framework allows to compute the signal to noise ratio in the multitude of possible LF-CRS, and more generally CRS, experimental implementations both in the spectral and time domain.
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