Attention LSTM U-Net model for heart tube segmentation in optical coherence microscopy images.

Optical coherence microscopy (OCM) imaging of the (fruit fly) heart tube has enabled the non-invasive characterization of fly heart physiology . OCM generates large volumes of data, making it necessary to automate image analysis. Deep-learning-based neural network models have been developed to improve the efficiency of fly heart image segmentation.

Cardiac RNase Z edited via CRISPR-Cas9 drives heart hypertrophy in Drosophila.

Cardiomyopathy (CM) is a group of diseases distinguished by morphological and functional abnormalities in the myocardium. It is etiologically heterogeneous and may develop via cell autonomous and/or non-autonomous mechanisms. One of the most severe forms of CM has been linked to the deficiency of the ubiquitously expressed RNase Z endoribonuclease.