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Related Experiment Video

Updated: Apr 17, 2026

High-Resolution Respirometry to Assess Bioenergetics in Cells and Tissues Using Chamber- and Plate-Based Respirometers

High-Resolution Respirometry to Assess Bioenergetics in Cells and Tissues Using Chamber- and Plate-Based Respirometers

Published on: October 26, 2021

Scalable workflows for high-throughput respirometry.

Corey A Osto^1,2, Eugene V Mosharov^3,4, Ayelet M Rosenberg³

¹Department of Medicine, Endocrinology, University of California, Los Angeles, Los Angeles, CA, USA.

Life Science Alliance

|April 15, 2026

Summary

This summary is machine-generated.

We developed a scalable, high-throughput respirometry method for measuring mitochondrial function. This new approach optimizes assays and data analysis for large-scale studies, reducing operator workload and ensuring data integrity.

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Last Updated: Apr 17, 2026

High-Resolution Respirometry to Assess Bioenergetics in Cells and Tissues Using Chamber- and Plate-Based Respirometers

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Published on: October 26, 2021

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Published on: July 25, 2025

Calorespirometry: A Powerful, Noninvasive Approach to Investigate Cellular Energy Metabolism

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Published on: May 31, 2018

Area of Science:

Mitochondrial biology
Cellular respiration
Biochemical assays

Background:

Mitochondrial respirometry is crucial for assessing mitochondrial function.
Current methods are not suitable for large-scale or high-throughput studies.
There is a need for scalable respirometry techniques.

Purpose of the Study:

To develop and validate a high-throughput respirometry approach.
To streamline assay preparation, execution, and data analysis.
To enable scalable mitochondrial function studies.

Main Methods:

Optimized plate layouts and sample normalization.
Robust control selection and automated data processing.
Quality control techniques applied to large datasets.

Main Results:

Successfully validated the methodology on 703 human brain samples.
Processed over 10,000 data points using automated techniques.
Demonstrated a streamlined workflow reducing operator burden.

Conclusions:

The developed method makes respirometry scalable for high-throughput applications.
This approach preserves data integrity and reduces operator effort.
Provides a transferable blueprint for expanding mitochondrial biology research.