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¹INSERM U603, CNRS UMR 8154, Université Paris Descartes, PRES Sorbonne Paris Cité, Laboratory of Neurophysiology and New Microscopies, F-75006 Paris , France +33 1 42 86 42 21 ; +33 1 42 86 41 51 ; martin.oheim@parisdescartes.fr.

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Summary

High-throughput microscopy promises to accelerate drug discovery, but challenges in robotic imaging, data analysis, and assay design must be addressed for its full potential in biomedical research.

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Super-Resolution Live Cell Imaging of Subcellular Structures

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Published on: January 13, 2021

Area of Science:

Biomedical imaging
Drug discovery
Microscopy

Background:

Fluorescence microscopy has advanced significantly with new probes, contrast techniques, and super-resolution imaging.
Current research microscopes are largely low-throughput, limiting applications in drug discovery pipelines.
Microscopy-based screening offers potential for compound design and candidate selection in pharmaceutical research.

Purpose of the Study:

Identify bottlenecks hindering high-throughput imaging in biological research.
Review recent studies (2007-2010) on live-cell screening with subcellular resolution.
Consider both instrumentation and experimental design for high-throughput microscopy.

Main Methods:

Literature review focusing on published academic work in high-throughput microscopy.
Analysis of challenges in instrumentation and experimental design for imaging-based protocols.
Emphasis on live-cell screening with subcellular resolution.

Main Results:

Significant challenges remain in robotic subcellular imaging and data mining for high-throughput microscopy.
Achieving high-throughput imaging comparable to high-end research microscopes requires integrated development.
Published data on pharmaceutical high-throughput microscopy screens is limited.

Conclusions:

Overcoming challenges in hardware, image analysis, and assay design is crucial for high-throughput microscopy.
Development of live-cell assays generating interpretable data is paramount.
Critical evaluation of the physiological and disease relevance of biological models for high-throughput microscopy is necessary.