Calcium Spark Detection and Event-Based Classification of Single Cardiomyocyte Using Deep Learning.

ABSTRACT: Ca²⁺ sparks are the elementary Ca²⁺ release events in cardiomyocytes, altered properties of which lead to impaired Ca²⁺ handling and finally contribute to cardiac pathology under various diseases. Despite increasing use of machine-learning algorithms in deciphering the content of biological and medical data, Ca²⁺ spark images and data are yet to be deeply learnt and analyzed. In the present study, we developed a deep residual convolutional neural network method to detect Ca²⁺ sparks. Compared to traditional detection methods with arbitrarily defined thresholds to distinguish signals from noises, our new method detected more Ca²⁺ sparks with lower amplitudes but similar spatiotemporal distributions, thereby indicating that ou

SUBMITTER: Yang S 

PROVIDER: S-EPMC8607692 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature