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Deciphering tissue morphodynamics using bioimage informatics.

Alexandre C Dufour1,2, Anneliene H Jonker3, Jean-Christophe Olivo-Marin4,2

  • 1Institut Pasteur, Bioimage Analysis Unit, 25-28 rue du Docteur Roux, Paris, France adufour@pasteur.fr.

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|March 29, 2017
PubMed
Summary
This summary is machine-generated.

Quantitative image analysis of developmental biology data is crucial for new discoveries. This overview highlights open-source software tools that enable reproducible, whole-tissue imaging studies and discusses future directions.

Keywords:
bioimage informaticscell segmentationcell trackingreproducible researchsoftware

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Area of Science:

  • Developmental Biology
  • Bioimaging
  • Quantitative Biology

Background:

  • Fluorescence microscopy advances have transformed developmental biology research.
  • Quantitative and automated image analysis is essential for extracting insights from complex biological data.
  • Standardized, reproducible bioimaging studies are increasingly important.

Purpose of the Study:

  • To provide an overview of image analysis methods for developmental biology.
  • To highlight openly available software packages for image analysis.
  • To discuss challenges and future directions in bioimaging analysis.

Main Methods:

  • Review of image analysis techniques relevant to developmental biology.
  • Focus on open-source software solutions.
  • Discussion of standardization and reproducibility in bioimaging.

Main Results:

  • Identification of various image analysis methods applicable to developmental biology.
  • Emphasis on the utility of open-source software for accessibility and collaboration.
  • Demonstration of progress towards reproducible whole-tissue imaging.

Conclusions:

  • Open-source image analysis tools are accelerating discoveries in developmental biology.
  • Standardization and reproducibility are key to advancing the field.
  • Future work should address remaining challenges in post-image analysis.