Cell sorting in a Petri dish controlled by computer vision

Z. Környei, S. Beke, T. Mihálffy, M. Jelitai, K. Kovács, Z. Szabó, B. Szabó

Research output: Contribution to journalArticle

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Abstract

Fluorescence-activated cell sorting (FACS) applying flow cytometry to separate cells on a molecular basis is a widespread method. We demonstrate that both fluorescent and unlabeled live cells in a Petri dish observed with a microscope can be automatically recognized by computer vision and picked up by a computer-controlled micropipette. This method can be routinely applied as a FACS down to the single cell level with a very high selectivity. Sorting resolution, i.e., the minimum distance between two cells from which one could be selectively removed was 50-70 micrometers. Survival rate with a low number of 3T3 mouse fibroblasts and NE-4C neuroectodermal mouse stem cells was 66±12% and 88±16%, respectively. Purity of sorted cultures and rate of survival using NE-4C/NE-GFP-4C co-cultures were 95±2% and 62±7%, respectively. Hydrodynamic simulations confirmed the experimental sorting efficiency and a cell damage risk similar to that of normal FACS.

Original languageEnglish
Article number1088
JournalScientific Reports
Volume3
DOIs
Publication statusPublished - Jan 18 2013

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Flow Cytometry
Hydrodynamics
Coculture Techniques
Stem Cells
Fibroblasts

ASJC Scopus subject areas

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Cell sorting in a Petri dish controlled by computer vision. / Környei, Z.; Beke, S.; Mihálffy, T.; Jelitai, M.; Kovács, K.; Szabó, Z.; Szabó, B.

In: Scientific Reports, Vol. 3, 1088, 18.01.2013.

Research output: Contribution to journalArticle

Környei Z, Beke S, Mihálffy T, Jelitai M, Kovács K, Szabó Z et al. Cell sorting in a Petri dish controlled by computer vision. Scientific Reports. 2013 Jan 18;3. 1088. https://doi.org/10.1038/srep01088
Környei, Z. ; Beke, S. ; Mihálffy, T. ; Jelitai, M. ; Kovács, K. ; Szabó, Z. ; Szabó, B. / Cell sorting in a Petri dish controlled by computer vision. In: Scientific Reports. 2013 ; Vol. 3.
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