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Scattering Inversion Study for Suspended Label-Free Lymphocytes with Complex Fine Structures

Objective and Impact Statement. Distinguishing malignant lymphocytes from normal ones is vital in pathological examination. We proposed an inverse light scattering (ILS) method for label-free suspended lymphocytes with complex fine structures to identify their volumes for pathological state. Introdu...

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Autores principales: Zhang, Lu, Wang, Huijun, Liu, Jianyi, Chen, Shuang, Yang, He, Yang, Zewen, Zhang, Zhenxi, Zhao, Hong, Yuan, Li, Tian, Lifang, Zhong, Bo, Liu, Xiaolong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521707/
https://www.ncbi.nlm.nih.gov/pubmed/37850176
http://dx.doi.org/10.34133/2022/9867373
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author Zhang, Lu
Wang, Huijun
Liu, Jianyi
Chen, Shuang
Yang, He
Yang, Zewen
Zhang, Zhenxi
Zhao, Hong
Yuan, Li
Tian, Lifang
Zhong, Bo
Liu, Xiaolong
author_facet Zhang, Lu
Wang, Huijun
Liu, Jianyi
Chen, Shuang
Yang, He
Yang, Zewen
Zhang, Zhenxi
Zhao, Hong
Yuan, Li
Tian, Lifang
Zhong, Bo
Liu, Xiaolong
author_sort Zhang, Lu
collection PubMed
description Objective and Impact Statement. Distinguishing malignant lymphocytes from normal ones is vital in pathological examination. We proposed an inverse light scattering (ILS) method for label-free suspended lymphocytes with complex fine structures to identify their volumes for pathological state. Introduction. Light scattering as cell’s “fingerprint” provides valuable morphology information closely related to its biophysical states. However, the detail relationships between the morphology with complex fine structures and its scattering characters are not fully understood. Methods. To quantitatively inverse the volumes of membrane and nucleus as the main scatterers, clinical lymphocyte morphologies were modeled combining the Gaussian random sphere geometry algorithm by 750 reconstructed results after confocal scanning, which allowed the accurate simulation to solve ILS problem. For complex fine structures, the specificity for ILS study was firstly discussed (to our knowledge) considering the differences of not only surface roughness, posture, but also the ratio of nucleus to the cytoplasm and refractive index. Results. The volumes of membrane and nucleus were proved theoretically to have good linear relationship with the effective area and entropy of forward scattering images. Their specificity deviations were less than 3.5%. Then, our experimental results for microsphere and clinical leukocytes showed the Pearson product-moment correlation coefficients (PPMCC) of this linear relationship were up to 0.9830~0.9926. Conclusion. Our scattering inversion method could be effectively applied to identify suspended label-free lymphocytes without destructive sample pretreatments and complex experimental systems.
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spelling pubmed-105217072023-10-17 Scattering Inversion Study for Suspended Label-Free Lymphocytes with Complex Fine Structures Zhang, Lu Wang, Huijun Liu, Jianyi Chen, Shuang Yang, He Yang, Zewen Zhang, Zhenxi Zhao, Hong Yuan, Li Tian, Lifang Zhong, Bo Liu, Xiaolong BME Front Research Article Objective and Impact Statement. Distinguishing malignant lymphocytes from normal ones is vital in pathological examination. We proposed an inverse light scattering (ILS) method for label-free suspended lymphocytes with complex fine structures to identify their volumes for pathological state. Introduction. Light scattering as cell’s “fingerprint” provides valuable morphology information closely related to its biophysical states. However, the detail relationships between the morphology with complex fine structures and its scattering characters are not fully understood. Methods. To quantitatively inverse the volumes of membrane and nucleus as the main scatterers, clinical lymphocyte morphologies were modeled combining the Gaussian random sphere geometry algorithm by 750 reconstructed results after confocal scanning, which allowed the accurate simulation to solve ILS problem. For complex fine structures, the specificity for ILS study was firstly discussed (to our knowledge) considering the differences of not only surface roughness, posture, but also the ratio of nucleus to the cytoplasm and refractive index. Results. The volumes of membrane and nucleus were proved theoretically to have good linear relationship with the effective area and entropy of forward scattering images. Their specificity deviations were less than 3.5%. Then, our experimental results for microsphere and clinical leukocytes showed the Pearson product-moment correlation coefficients (PPMCC) of this linear relationship were up to 0.9830~0.9926. Conclusion. Our scattering inversion method could be effectively applied to identify suspended label-free lymphocytes without destructive sample pretreatments and complex experimental systems. AAAS 2022-11-08 /pmc/articles/PMC10521707/ /pubmed/37850176 http://dx.doi.org/10.34133/2022/9867373 Text en https://creativecommons.org/licenses/by/4.0/Exclusive Licensee Suzhou Institute of Biomedical Engineering and Technology, CAS. Distributed under a Creative Commons Attribution License (CC BY 4.0).
spellingShingle Research Article
Zhang, Lu
Wang, Huijun
Liu, Jianyi
Chen, Shuang
Yang, He
Yang, Zewen
Zhang, Zhenxi
Zhao, Hong
Yuan, Li
Tian, Lifang
Zhong, Bo
Liu, Xiaolong
Scattering Inversion Study for Suspended Label-Free Lymphocytes with Complex Fine Structures
title Scattering Inversion Study for Suspended Label-Free Lymphocytes with Complex Fine Structures
title_full Scattering Inversion Study for Suspended Label-Free Lymphocytes with Complex Fine Structures
title_fullStr Scattering Inversion Study for Suspended Label-Free Lymphocytes with Complex Fine Structures
title_full_unstemmed Scattering Inversion Study for Suspended Label-Free Lymphocytes with Complex Fine Structures
title_short Scattering Inversion Study for Suspended Label-Free Lymphocytes with Complex Fine Structures
title_sort scattering inversion study for suspended label-free lymphocytes with complex fine structures
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521707/
https://www.ncbi.nlm.nih.gov/pubmed/37850176
http://dx.doi.org/10.34133/2022/9867373
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