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High-Throughput Single-Cell Imaging ...

Zhang, Jing,

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High-Throughput Single-Cell Imaging and Sorting by Stimulated Raman Scattering Microscopy and Laser-Induced Ejection /

Record Type:	Electronic resources : Monograph/item
Title/Author:	High-Throughput Single-Cell Imaging and Sorting by Stimulated Raman Scattering Microscopy and Laser-Induced Ejection // Jing Zhang.
Author:	Zhang, Jing,
Description:	1 electronic resource (157 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-07, Section: B.
Contained By:	Dissertations Abstracts International85-07B.
Subject:	Biomedical engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30816676
ISBN:	9798381409598

High-Throughput Single-Cell Imaging and Sorting by Stimulated Raman Scattering Microscopy and Laser-Induced Ejection /
Zhang, Jing,

High-Throughput Single-Cell Imaging and Sorting by Stimulated Raman Scattering Microscopy and Laser-Induced Ejection /Jing Zhang. - 1 electronic resource (157 pages)

Source: Dissertations Abstracts International, Volume: 85-07, Section: B.

Single-cell bio-analytical techniques play a pivotal role in contemporary biological and biomedical research. Among current high-throughput single-cell imaging methods, coherent Raman imaging offers both high bio-compatibility and high-throughput information-rich capabilities, offering insights into cellular composition, dynamics, and function. Coherent Raman imaging finds its value in diverse applications, ranging from live cell dynamic imaging, high-throughput drug screening, fast antimicrobial susceptibility testing, etc. In this thesis, I first present a deep learning algorithm to solve the inverse problem of getting a chemically labeled image from a single-shot femtosecond stimulated Raman scattering (SRS) image. This method allows high-speed, high-throughput tracking of lipid droplet dynamics and drug response in live cells. Second, I provide image-based single-cell analysis in an engineered Escherichia coli (E. coli) population, confirming the chemical composition and subcellular structure organization of individual engineered E. coli cells. Additionally, I unveil metabolon formation in engineered E. coli by high-speed spectroscopic SRS and two-photon fluorescence imaging.Lastly, I present stimulated Raman-activated cell ejection (S-RACE) by integrating high-throughput SRS imaging, in situ image decomposition, and high-precision laser-induced cell ejection. I demonstrate the automatic imaging-identification-sorting workflow in S-RACE and advance its compatibility with versatile samples ranging from polymer particles, single live bacteria/fungus, and tissue sections.Collectively, these efforts demonstrate the valuable capability of SRS in high-throughput single-cell imaging and sorting, opening opportunities for a wide range of biological and biomedical applications.

English

ISBN: 9798381409598Subjects--Topical Terms:

535387
Biomedical engineering.
Subjects--Index Terms:

Hyperspectral image analysis

High-Throughput Single-Cell Imaging and Sorting by Stimulated Raman Scattering Microscopy and Laser-Induced Ejection /
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520 $a Single-cell bio-analytical techniques play a pivotal role in contemporary biological and biomedical research. Among current high-throughput single-cell imaging methods, coherent Raman imaging offers both high bio-compatibility and high-throughput information-rich capabilities, offering insights into cellular composition, dynamics, and function. Coherent Raman imaging finds its value in diverse applications, ranging from live cell dynamic imaging, high-throughput drug screening, fast antimicrobial susceptibility testing, etc. In this thesis, I first present a deep learning algorithm to solve the inverse problem of getting a chemically labeled image from a single-shot femtosecond stimulated Raman scattering (SRS) image. This method allows high-speed, high-throughput tracking of lipid droplet dynamics and drug response in live cells. Second, I provide image-based single-cell analysis in an engineered Escherichia coli (E. coli) population, confirming the chemical composition and subcellular structure organization of individual engineered E. coli cells. Additionally, I unveil metabolon formation in engineered E. coli by high-speed spectroscopic SRS and two-photon fluorescence imaging.Lastly, I present stimulated Raman-activated cell ejection (S-RACE) by integrating high-throughput SRS imaging, in situ image decomposition, and high-precision laser-induced cell ejection. I demonstrate the automatic imaging-identification-sorting workflow in S-RACE and advance its compatibility with versatile samples ranging from polymer particles, single live bacteria/fungus, and tissue sections.Collectively, these efforts demonstrate the valuable capability of SRS in high-throughput single-cell imaging and sorting, opening opportunities for a wide range of biological and biomedical applications.
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653 $a Hyperspectral image analysis
653 $a Hyperspectral imaging
653 $a Escherichia coli
653 $a Stimulated Raman scattering
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