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Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

Published on: June 30, 2017

Large-scale image-based screening and profiling of cellular phenotypes.

Nicola Bougen-Zhukov¹, Sheng Yang Loh¹, Hwee Kuan Lee¹

¹Bioinformatics Institute, Agency for Science, Technology and Research, Singapore, 138671, Singapore.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology

|July 20, 2016

Summary

This summary is machine-generated.

Large-scale image-based phenotypic screens generate vast data. This review focuses on phenotypic profiling, a computational method to analyze cellular phenotypes from images, addressing data analysis bottlenecks.

Keywords:

automated image analysis cellular phenotypes high-content screening high-throughput microscopy imaging-based phenotypic screens phenotypic profiling

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Area of Science:

Cell Biology
Bioinformatics
Computational Biology

Background:

Cellular phenotypes are observable characteristics influenced by intrinsic and extrinsic factors.
Image-based phenotypic screens are crucial for studying these influences under various conditions.
Quantifying numerous phenotypic descriptors from cell images generates substantial datasets.

Purpose of the Study:

To review current experimental and computational methods for large-scale image-based phenotypic screens.
To highlight phenotypic profiling as a key computational strategy.
To address the data analysis bottleneck in high-throughput phenotypic screening.

Main Methods:

Review of experimental techniques in image-based phenotypic screening.
Discussion of computational approaches for analyzing high-content imaging data.
Focus on phenotypic profiling for quantitative representation of cellular phenotypes.

Main Results:

Identification of data analysis as a major bottleneck in large-scale screens.
Emphasis on the utility of phenotypic profiling for data interpretation.
Overview of diverse methods for cellular phenotype quantification.

Conclusions:

Phenotypic profiling offers a computational solution for analyzing complex image-based screening data.
Efficient analysis of large-scale phenotypic screens is essential for biological discovery.
Advancements in computational methods are critical for overcoming data analysis challenges.