In nearly all pathophysiological processes, mitochondrial membrane potential serves as a crucial indicator of mitochondrial function and activity. However, there remains a need for high-content imaging techniques that incorporate multiparametric measurements for comprehensive mitochondrial assessment. This paper introduces a novel unbiased approach for quantifying mitochondrial membrane potential in vitro, applicable to both two-dimensional and three-dimensional experimental systems. Furthermore, the incorporation of automated image analysis with machine learning algorithms enabled precise identification and segregation of distinct cell types within complex co-culture systems, allowing for targeted evaluation of individual subpopulations. Here, we provide a protocol for large-scale profiling of mitochondrial activity across various experimental contexts.

High-content microscopy quantification of mitochondrial membrane potential

Bean C.
;
2025-01-01

Abstract

In nearly all pathophysiological processes, mitochondrial membrane potential serves as a crucial indicator of mitochondrial function and activity. However, there remains a need for high-content imaging techniques that incorporate multiparametric measurements for comprehensive mitochondrial assessment. This paper introduces a novel unbiased approach for quantifying mitochondrial membrane potential in vitro, applicable to both two-dimensional and three-dimensional experimental systems. Furthermore, the incorporation of automated image analysis with machine learning algorithms enabled precise identification and segregation of distinct cell types within complex co-culture systems, allowing for targeted evaluation of individual subpopulations. Here, we provide a protocol for large-scale profiling of mitochondrial activity across various experimental contexts.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1306416
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