Analysis of live cell images: Methods, tools and opportunities

Methods : a Companion to Methods in Enzymology
Thomas A NketiaJens Rittscher

Abstract

Advances in optical microscopy, biosensors and cell culturing technologies have transformed live cell imaging. Thanks to these advances live cell imaging plays an increasingly important role in basic biology research as well as at all stages of drug development. Image analysis methods are needed to extract quantitative information from these vast and complex data sets. The aim of this review is to provide an overview of available image analysis methods for live cell imaging, in particular required preprocessing image segmentation, cell tracking and data visualisation methods. The potential opportunities recent advances in machine learning, especially deep learning, and computer vision provide are being discussed. This review includes overview of the different available software packages and toolkits.

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Related Concepts

Machine Learning
Metazoa
Optical Image Reconstruction
Microscopy
Computer Programs and Programming
Biosensing Techniques
Cell Culture Techniques
Molecular Imaging
Cell Tracking
Signal-To-Noise Ratio

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