Literature DB >> 22192538

Single cell viability measurements in 3D scaffolds using in situ label free imaging by optical coherence microscopy.

Joy P Dunkers1, Young Jong Lee, Kaushik Chatterjee.   

Abstract

The focus on creating tissue engineered constructs of clinically relevant sizes requires new approaches for monitoring construct health during tissue development. A few key requirements are that the technology be in situ, non-invasive, and provide temporal and spatial information. In this work, we demonstrate that optical coherence microscopy (OCM) can be used to assess cell viability without the addition of exogenous probes in three-dimensional (3D) tissue scaffolds maintained under standard culture conditions. This is done by collecting time-lapse images of speckle generated by sub-cellular features. Image cross-correlation is used to calculate the number of features the final image has in common with the initial image. If the cells are live, the number of common features is low. The number of common features approaches 100% if the cells are dead. In control experiments, cell viability is verified by the addition of a two-photon fluorescence channel to the OCM. Green fluorescent protein transfected human bone marrow stromal cells cultured in a transparent poly(ethylene glycol) tetramethacrylate hydrogel scaffold is used as the control system. Then, the utility of this approach is demonstrated by determining L929 fibroblast cell viability in a more challenging matrix, collagen, an optical scatterer. These results demonstrate a new technique for in situ mapping of single cell viability without any exogenous probes that is capable of providing continuous monitoring of construct health. Published by Elsevier Ltd.

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Year:  2011        PMID: 22192538     DOI: 10.1016/j.biomaterials.2011.11.058

Source DB:  PubMed          Journal:  Biomaterials        ISSN: 0142-9612            Impact factor:   12.479


  4 in total

1.  Computational Analysis of Cell Dynamics in Videos with Hierarchical-Pooled Deep-Convolutional Features.

Authors:  Fengqian Pang; Heng Li; Yonggang Shi; Zhiwen Liu
Journal:  J Comput Biol       Date:  2018-04-25       Impact factor: 1.479

2.  Cancer-on-a-Chip for Modeling Immune Checkpoint Inhibitor and Tumor Interactions.

Authors:  Xing Jiang; Li Ren; Peyton Tebon; Canran Wang; Xingwu Zhou; Moyuan Qu; Jixiang Zhu; Haonan Ling; Shiming Zhang; Yumeng Xue; Qingzhi Wu; Praveen Bandaru; Junmin Lee; Han-Jun Kim; Samad Ahadian; Nureddin Ashammakhi; Mehmet R Dokmeci; Jinhui Wu; Zhen Gu; Wujin Sun; Ali Khademhosseini
Journal:  Small       Date:  2021-01-27       Impact factor: 13.281

3.  Cell death detection by quantitative three-dimensional single-cell tomography.

Authors:  Nai-Chia Cheng; Tsung-Hsun Hsieh; Yu-Ta Wang; Chien-Chih Lai; Chia-Kai Chang; Ming-Yi Lin; Ding-Wei Huang; Jeng-Wei Tjiu; Sheng-Lung Huang
Journal:  Biomed Opt Express       Date:  2012-08-13       Impact factor: 3.732

4.  Iterative feedback bio-printing-derived cell-laden hydrogel scaffolds with optimal geometrical fidelity and cellular controllability.

Authors:  Ling Wang; Ming-En Xu; Li Luo; Yongyong Zhou; Peijian Si
Journal:  Sci Rep       Date:  2018-02-12       Impact factor: 4.379

  4 in total

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