Large‐scale image‐based screening and profiling of cellular phenotypes

Abstract

Cellular phenotypes are observable characteristics of cells resulting from the interactions of intrinsic and extrinsic chemical or biochemical factors. Image-based phenotypic screens under large numbers of basal or perturbed conditions can be used to study the influences of these factors on cellular phenotypes. Hundreds to thousands of phenotypic descriptors can also be quantified from the images of cells under each of these experimental conditions. Therefore, huge amounts of data can be generated, and the analysis of these data has become a major bottleneck in large-scale phenotypic screens. Here, we review current experimental and computational methods for large-scale image-based phenotypic screens. Our focus is on phenotypic profiling, a computational procedure for constructing quantitative and compact representations of cellular phenotypes based on the images collected in these screens.

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

“…From image-based assays to high-content screening (1,2), microscopy images have led to understanding genetic perturbations, pursuing drug discovery, and phenotyping cells in biomedical applications and cell biology research (3,4). From image-based assays to high-content screening (1,2), microscopy images have led to understanding genetic perturbations, pursuing drug discovery, and phenotyping cells in biomedical applications and cell biology research (3,4).…”

Zooming in on adipocytes: High and deep

“…This issue was addressed in several systematic studies and reviews (7,8). This issue was addressed in several systematic studies and reviews (7,8).…”

Biomedical Image Processing with Containers and Deep Learning: An Automated Analysis Pipeline

“…Hardware systems that once required manual intervention can now be programed to run continuously for days or even weeks. High‐content‐screening systems enable the simultaneous testing of several experimental hypotheses automatically . Precision mechanical advances enable optical systems that can scan and rescale entire centimeters of samples at subcellular resolution .…”

“…High-content-screening systems enable the simultaneous testing of several experimental hypotheses automatically. [1][2][3][4][5] Precision mechanical advances enable optical systems that can scan and rescale entire centimeters of samples at subcellular resolution. [6] High-bandwidth communication networks enable large multisite scientific datasets.…”