Prediction of fast subcellular calcium signals based on label-free second harmonic generation microscopy measurements
Year: 2025
Type: article
Abstract: Calcium (Ca 2+ ) sparks were predicted based on the label-free second harmonic generation (SHG) signal of myosin filaments with pix2pix, a conditional adversarial network. Predicted Ca 2+ sparks and ground truth Ca 2+ sparks show similar properties. Predicted Ca 2+ spark frequencies and a predominant location at the periphery of skeletal muscle fibers were in good agreement with ground truth data. High frequencies of predicted Ca 2+ sparks could be observed at y-shaped structures of myosin filaments. Important image pre-processing was applied in order to enhance the signal of Ca 2+ sparks used for training. Only open-source software was applied. I provide the image pre-processing algorithm and several algorithms to evaluate the quality of predicted Ca 2+ sparks. This technique can be extended to other label-free microscopy techniques and other fluorescent indicators developed during the last years. It remains a difficult task to predict the exact location of Ca 2+ sparks.
Author: Tihomir Georgiev
Institutions: University of Cologne, University Hospital Cologne
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,080
OpenAlex ID: W4414569447