QCMA: A desktop application for quantitative collective cell migration analysis

Amit Zeisel; Assif Yitzhaky; Cindy Koerner; Mattia Lauriola; Hadas Cohen-Dvashi; Wolfgang J. Köstler; Yosef Yarden; Stefan Wiemann; Eytan Domany

doi:10.1177/1087057112461940

QCMA: A desktop application for quantitative collective cell migration analysis

Amit Zeisel, Assif Yitzhaky, Cindy Koerner, Mattia Lauriola, Hadas Cohen-Dvashi, Wolfgang J. Köstler, Yosef Yarden, Stefan Wiemann, Eytan Domany

Weizmann Institute of Science

Research output: Contribution to journal › Article › peer-review

Abstract

Collective migration is an important cellular trait, which is intensely studied by both basic and translational researchers. Investigation of the underlying mechanisms necessitates high-throughput assays and computational algorithms capable of generating reproducible quantitative measurements of cell migration. We present a desktop tool that can be used easily by any researcher, to quantify both fluorescent and phase-contrast images produced in the course of commonly used gap closure ("scratch," "wound healing") collective migration assays. The software has a simple graphical interface that allows the user to tune the relevant parameters and process large numbers of images (or movies). The output contains segmented images and the numerical values inferred from them, allowing easy quantitative analysis of the results.

Original language	English
Pages (from-to)	356-360
Number of pages	5
Journal	Journal of Biomolecular Screening
Volume	18
Issue number	3
DOIs	https://doi.org/10.1177/1087057112461940
State	Published - Mar 2013

Keywords

cell function assays
high-content screening
image analysis
microscopy

All Science Journal Classification (ASJC) codes

Drug Discovery
Analytical Chemistry
Molecular Medicine
Biochemistry
Biotechnology
Pharmacology

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10.1177/1087057112461940

Cite this

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title = "QCMA: A desktop application for quantitative collective cell migration analysis",

abstract = "Collective migration is an important cellular trait, which is intensely studied by both basic and translational researchers. Investigation of the underlying mechanisms necessitates high-throughput assays and computational algorithms capable of generating reproducible quantitative measurements of cell migration. We present a desktop tool that can be used easily by any researcher, to quantify both fluorescent and phase-contrast images produced in the course of commonly used gap closure ({"}scratch,{"} {"}wound healing{"}) collective migration assays. The software has a simple graphical interface that allows the user to tune the relevant parameters and process large numbers of images (or movies). The output contains segmented images and the numerical values inferred from them, allowing easy quantitative analysis of the results.",

keywords = "cell function assays, high-content screening, image analysis, microscopy",

author = "Amit Zeisel and Assif Yitzhaky and Cindy Koerner and Mattia Lauriola and Hadas Cohen-Dvashi and K{\"o}stler, \{Wolfgang J.\} and Yosef Yarden and Stefan Wiemann and Eytan Domany",

note = "Funding Information: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Supported by the German Research Foundation (DIP), the DKFZ International PhD Program (CK), the AIRC and Marie Curie Actions (ML), the Linda and Michael Jacobs Charitable Trust (WJK), the Leir Charitable Foundation and the Israel Science Foundation (ISF).",

year = "2013",

month = mar,

doi = "10.1177/1087057112461940",

language = "الإنجليزيّة",

volume = "18",

pages = "356--360",

journal = "Journal of Biomolecular Screening",

issn = "1087-0571",

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T2 - A desktop application for quantitative collective cell migration analysis

AU - Zeisel, Amit

AU - Yitzhaky, Assif

AU - Koerner, Cindy

AU - Lauriola, Mattia

AU - Cohen-Dvashi, Hadas

AU - Köstler, Wolfgang J.

AU - Yarden, Yosef

AU - Wiemann, Stefan

AU - Domany, Eytan

N1 - Funding Information: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Supported by the German Research Foundation (DIP), the DKFZ International PhD Program (CK), the AIRC and Marie Curie Actions (ML), the Linda and Michael Jacobs Charitable Trust (WJK), the Leir Charitable Foundation and the Israel Science Foundation (ISF).

PY - 2013/3

Y1 - 2013/3

N2 - Collective migration is an important cellular trait, which is intensely studied by both basic and translational researchers. Investigation of the underlying mechanisms necessitates high-throughput assays and computational algorithms capable of generating reproducible quantitative measurements of cell migration. We present a desktop tool that can be used easily by any researcher, to quantify both fluorescent and phase-contrast images produced in the course of commonly used gap closure ("scratch," "wound healing") collective migration assays. The software has a simple graphical interface that allows the user to tune the relevant parameters and process large numbers of images (or movies). The output contains segmented images and the numerical values inferred from them, allowing easy quantitative analysis of the results.

AB - Collective migration is an important cellular trait, which is intensely studied by both basic and translational researchers. Investigation of the underlying mechanisms necessitates high-throughput assays and computational algorithms capable of generating reproducible quantitative measurements of cell migration. We present a desktop tool that can be used easily by any researcher, to quantify both fluorescent and phase-contrast images produced in the course of commonly used gap closure ("scratch," "wound healing") collective migration assays. The software has a simple graphical interface that allows the user to tune the relevant parameters and process large numbers of images (or movies). The output contains segmented images and the numerical values inferred from them, allowing easy quantitative analysis of the results.

KW - cell function assays

KW - high-content screening

KW - image analysis

KW - microscopy

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U2 - 10.1177/1087057112461940

DO - 10.1177/1087057112461940

M3 - مقالة

SN - 1087-0571

VL - 18

SP - 356

EP - 360

JO - Journal of Biomolecular Screening

JF - Journal of Biomolecular Screening

IS - 3

ER -

QCMA: A desktop application for quantitative collective cell migration analysis

Abstract

Keywords

All Science Journal Classification (ASJC) codes

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