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Light sheet based volume flow cytometry (VFC) for rapid volume reconstruction and parameter estimation on the go

Optical imaging is paramount for disease diagnosis and to access its progression over time. The proposed optical flow imaging (VFC/iLIFE) is a powerful technique that adds new capabilities (3D volume visualization, organelle-level resolution, and multi-organelle screening) to the existing system. Un...

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Autores principales: Kumar, Prashant, Joshi, Prakash, Basumatary, Jigmi, Mondal, Partha Pratim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741756/
https://www.ncbi.nlm.nih.gov/pubmed/34997009
http://dx.doi.org/10.1038/s41598-021-03902-8
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author Kumar, Prashant
Joshi, Prakash
Basumatary, Jigmi
Mondal, Partha Pratim
author_facet Kumar, Prashant
Joshi, Prakash
Basumatary, Jigmi
Mondal, Partha Pratim
author_sort Kumar, Prashant
collection PubMed
description Optical imaging is paramount for disease diagnosis and to access its progression over time. The proposed optical flow imaging (VFC/iLIFE) is a powerful technique that adds new capabilities (3D volume visualization, organelle-level resolution, and multi-organelle screening) to the existing system. Unlike state-of-the-art point-illumination-based biomedical imaging techniques, the sheet-based VFC technique is capable of single-shot sectional visualization, high throughput interrogation, real-time parameter estimation, and instant volume reconstruction with organelle-level resolution of live specimens. The specimen flow system was realized on a multichannel (Y-type) microfluidic chip that enables visualization of organelle distribution in several cells in-parallel at a relatively high flow-rate (2000 nl/min). The calibration of VFC system requires the study of point emitters (fluorescent beads) at physiologically relevant flow-rates (500–2000 nl/min) for determining flow-induced optical aberration in the system point spread function (PSF). Subsequently, the recorded raw images and volumes were computationally deconvolved with flow-variant PSF to reconstruct the cell volume. High throughput investigation of the mitochondrial network in HeLa cancer cell was carried out at sub-cellular resolution in real-time and critical parameters (mitochondria count and size distribution, morphology, entropy, and cell strain statistics) were determined on-the-go. These parameters determine the physiological state of cells, and the changes over-time, revealing the metastatic progression of diseases. Overall, the developed VFC system enables real-time monitoring of sub-cellular organelle organization at a high-throughput with high-content capacity.
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spelling pubmed-87417562022-01-10 Light sheet based volume flow cytometry (VFC) for rapid volume reconstruction and parameter estimation on the go Kumar, Prashant Joshi, Prakash Basumatary, Jigmi Mondal, Partha Pratim Sci Rep Article Optical imaging is paramount for disease diagnosis and to access its progression over time. The proposed optical flow imaging (VFC/iLIFE) is a powerful technique that adds new capabilities (3D volume visualization, organelle-level resolution, and multi-organelle screening) to the existing system. Unlike state-of-the-art point-illumination-based biomedical imaging techniques, the sheet-based VFC technique is capable of single-shot sectional visualization, high throughput interrogation, real-time parameter estimation, and instant volume reconstruction with organelle-level resolution of live specimens. The specimen flow system was realized on a multichannel (Y-type) microfluidic chip that enables visualization of organelle distribution in several cells in-parallel at a relatively high flow-rate (2000 nl/min). The calibration of VFC system requires the study of point emitters (fluorescent beads) at physiologically relevant flow-rates (500–2000 nl/min) for determining flow-induced optical aberration in the system point spread function (PSF). Subsequently, the recorded raw images and volumes were computationally deconvolved with flow-variant PSF to reconstruct the cell volume. High throughput investigation of the mitochondrial network in HeLa cancer cell was carried out at sub-cellular resolution in real-time and critical parameters (mitochondria count and size distribution, morphology, entropy, and cell strain statistics) were determined on-the-go. These parameters determine the physiological state of cells, and the changes over-time, revealing the metastatic progression of diseases. Overall, the developed VFC system enables real-time monitoring of sub-cellular organelle organization at a high-throughput with high-content capacity. Nature Publishing Group UK 2022-01-07 /pmc/articles/PMC8741756/ /pubmed/34997009 http://dx.doi.org/10.1038/s41598-021-03902-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kumar, Prashant
Joshi, Prakash
Basumatary, Jigmi
Mondal, Partha Pratim
Light sheet based volume flow cytometry (VFC) for rapid volume reconstruction and parameter estimation on the go
title Light sheet based volume flow cytometry (VFC) for rapid volume reconstruction and parameter estimation on the go
title_full Light sheet based volume flow cytometry (VFC) for rapid volume reconstruction and parameter estimation on the go
title_fullStr Light sheet based volume flow cytometry (VFC) for rapid volume reconstruction and parameter estimation on the go
title_full_unstemmed Light sheet based volume flow cytometry (VFC) for rapid volume reconstruction and parameter estimation on the go
title_short Light sheet based volume flow cytometry (VFC) for rapid volume reconstruction and parameter estimation on the go
title_sort light sheet based volume flow cytometry (vfc) for rapid volume reconstruction and parameter estimation on the go
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741756/
https://www.ncbi.nlm.nih.gov/pubmed/34997009
http://dx.doi.org/10.1038/s41598-021-03902-8
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