scholarly journals In situ label-free cell viability assessment of nucleus pulposus tissue

2014 ◽  
Vol 32 (4) ◽  
pp. 545-550 ◽  
Author(s):  
Roman Dittmar ◽  
Bart G. M. van Dijk ◽  
Marc A. M. J. van Zandvoort ◽  
Keita Ito
Keyword(s):  
Cell Viability ◽  
Nucleus Pulposus ◽  
Free Cell ◽  
Label Free ◽  
Viability Assessment ◽  
Nucleus Pulposus Tissue

scholarly journals Creation of an injectable in situ gelling native extracellular matrix for nucleus pulposus tissue engineering

2017 ◽  
Vol 17 (3) ◽  
pp. 435-444 ◽  
Author(s):  
Rebecca A. Wachs ◽  
Ella N. Hoogenboezem ◽  
Hammad I. Huda ◽  
Shangjing Xin ◽  
Stacy L. Porvasnik ◽  
...  
Keyword(s):  
Tissue Engineering ◽  
Extracellular Matrix ◽  
Nucleus Pulposus ◽  
Nucleus Pulposus Tissue ◽  
In Situ Gelling

scholarly journals Label-free cell viability assay using phase imaging with computational specificity

2020 ◽  
Author(s):  
Chenfei Hu ◽  
Shenghua He ◽  
Young Jae Lee ◽  
Yuchen He ◽  
Edward M. Kong ◽  
...  
Keyword(s):  
Cell Viability ◽  
Hela Cells ◽  
Free Cell ◽  
Phase Imaging ◽  
Label Free ◽  
Cell Dynamics ◽  
Cell Viability Assay ◽  
Chemical Reagents ◽  
Viability Assay ◽  
Cell Staining

AbstractExisting approaches to evaluate cell viability involve cell staining with chemical reagents. However, this step of exogenous staining makes these methods undesirable for rapid, nondestructive and long term investigation. Here, we present instantaneous viability assessment of unlabeled cells using phase imaging with computation specificity (PICS). This new concept utilizes deep learning techniques to compute viability markers associated with the specimen measured by quantitative phase imaging. Demonstrated on HeLa cells culture, the proposed method reports approximately 95% accuracy in identifying injured and dead cells. Further comparison of cell morphology with labeled HeLa cells suggests that potential adverse effect on cell dynamics introduced by the viability reagents can be avoided using the label-free investigation method, which would be valuable for a broad range of biomedical applications.

Label-free cell viability assay using phase imaging with computational specificity (PICS)

2021 ◽  
Author(s):  
Chenfei Hu ◽  
Shenghua He ◽  
Young Jae Lee ◽  
Yuchen R. He ◽  
Mark Anastasio ◽  
...  
Keyword(s):  
Cell Viability ◽  
Free Cell ◽  
Phase Imaging ◽  
Label Free ◽  
Cell Viability Assay ◽  
Viability Assay

Label-free cell viability assay using lens-free microscopy

2018 ◽  
Author(s):  
Cédric Allier ◽  
Thomas Bordy ◽  
Olivier Cioni ◽  
Lionel Hervé ◽  
Geoffrey Esteban ◽  
...  
Keyword(s):  
Cell Viability ◽  
Free Cell ◽  
Label Free ◽  
Cell Viability Assay ◽  
Viability Assay

THz Spectroscopy for a Rapid and Label-Free Cell Viability Assay in a Microfluidic Chip Based on an Optical Clearing Agent

2018 ◽  
Vol 91 (1) ◽  
pp. 785-791 ◽  
Author(s):  
Ke Yang ◽  
Xiang Yang ◽  
Xiang Zhao ◽  
Marc Lamy de la Chapelle ◽  
Weiling Fu
Keyword(s):  
Cell Viability ◽  
Microfluidic Chip ◽  
Free Cell ◽  
Thz Spectroscopy ◽  
Label Free ◽  
Cell Viability Assay ◽  
Optical Clearing ◽  
Viability Assay

Multi-frequency single cell electrical impedance measurement for label-free cell viability analysis

The Analyst ◽  
2021 ◽  
Author(s):  
Jianwei Zhong ◽  
Dahou Yang ◽  
Yinning Zhou ◽  
Minhui Liang ◽  
Ye Ai
Keyword(s):  
Single Cell ◽  
Cell Sorting ◽  
Electrical Impedance ◽  
Impedance Measurement ◽  
Free Cell ◽  
Label Free ◽  
Cell Level ◽  
Viability Analysis ◽  
Electrical Impedance Measurement

We present a novel impedance-based strategy for high-throughput label-free single cell level viability measurement, which provides a promising pathway for real-time in situ cell identification and integration with cell sorting/isolation platforms.

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