Detection and Classification of Local Ca²⁺ Release Events in Cardiomyocytes Using 3D-UNet Neural Network

Dotti, Prisca; Márquez Neila, Pablo; Fernandez-Tenorio, Miguel; Janicek, Radoslav; Wullschleger, Marcel; Meyer zu Westram, Till; Sznitman, Raphael; Egger, Marcel (May 2022). Detection and Classification of Local Ca²⁺ Release Events in Cardiomyocytes Using 3D-UNet Neural Network (Unpublished). In: Bern Data Science Day 2022.

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Global Ca²⁺ increase in the cytosol of cardiomyocytes is crucial for the contraction of the heart. Malfunctioning of proteins involved in this process can trigger local events (e.g., sparks and puffs) and global events (e.g., waves). These are thought to be involved in the development of arrhythmia. Therefore, it is important to detect and classify local Ca²⁺ release events. We present a novel approach, based on a 3D U‐Net architecture, to perform these tasks in a fully automated fashion. We employed data obtained with fast xyt confocal imaging of cardiomyocytes where such subcellular Ca²⁺ events are manually annotated and trained the neural network to infer comparable segmentation as output. Despite the relatively small amount of available data and the challenges that it exhibits, we obtained qualitatively promising results.

Item Type:

Conference or Workshop Item (Poster)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Physiology
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - AI in Medical Imaging Laboratory

UniBE Contributor:

Dotti, Prisca Rosa, Márquez Neila, Pablo, Fernandez Tenorio, Miguel, Janicek, Radoslav, Wullschleger, Marcel, Meyer zu Westram, Till, Sznitman, Raphael, Egger, Marcel

Subjects:

600 Technology > 610 Medicine & health

Projects:

[1587] Bern Data Science Day 2022-05-06 Official URL

Language:

English

Submitter:

Prisca Rosa Dotti

Date Deposited:

20 Jun 2022 08:14

Last Modified:

31 Mar 2023 10:46

BORIS DOI:

10.48350/170201

URI:

https://boris.unibe.ch/id/eprint/170201

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