Literature DB >> 19929790

Moving pictures: imaging flow cytometry for drug development.

Gary S Elliott1.   

Abstract

As technologies for high throughput and high content screening continue to evolve, new platforms for quantitative cellular imaging will play an increasingly important role in identifying and profiling lead compounds. To gain insight into the effects of a compound on cell morphology or intracellular events, it is necessary to have quality images and the ability to enumerate thousands of data points for statistical relevance. Imaging flow cytometry combines many of the features of flow cytometry, microscopy and imaging as well as a number of unique characteristics. The result is an instrument capable of highly quantitative analysis of cellular behaviors such as receptor internalization, phagocytosis, cell-cell communication, apoptosis and nuclear translocation. This promising new technology and unique type of flow cytometry provides enhanced capabilities for highly multiplexed assays. Here, we review the capabilities of the ImageStream imaging cytometer and discuss several applications relevant to compound screening and profiling.

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Year:  2009        PMID: 19929790     DOI: 10.2174/138620709789383204

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  6 in total

1.  Subcellular localization-dependent changes in EGFP fluorescence lifetime measured by time-resolved flow cytometry.

Authors:  Ali Vaziri Gohar; Ruofan Cao; Patrick Jenkins; Wenyan Li; Jessica P Houston; Kevin D Houston
Journal:  Biomed Opt Express       Date:  2013-07-19       Impact factor: 3.732

2.  High-content screening: getting more from less.

Authors:  J Philip McCoy
Journal:  Nat Methods       Date:  2011-05       Impact factor: 28.547

Review 3.  Review: imaging technologies for flow cytometry.

Authors:  Yuanyuan Han; Yi Gu; Alex Ce Zhang; Yu-Hwa Lo
Journal:  Lab Chip       Date:  2016-11-29       Impact factor: 6.799

Review 4.  Detection of Rare Objects by Flow Cytometry: Imaging, Cell Sorting, and Deep Learning Approaches.

Authors:  Denis V Voronin; Anastasiia A Kozlova; Roman A Verkhovskii; Alexey V Ermakov; Mikhail A Makarkin; Olga A Inozemtseva; Daniil N Bratashov
Journal:  Int J Mol Sci       Date:  2020-03-27       Impact factor: 5.923

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

Authors:  Prashant Kumar; Prakash Joshi; Jigmi Basumatary; Partha Pratim Mondal
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

6.  Imaging Cells in Flow Cytometer Using Spatial-Temporal Transformation.

Authors:  Yuanyuan Han; Yu-Hwa Lo
Journal:  Sci Rep       Date:  2015-08-18       Impact factor: 4.379

  6 in total

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