Key result
Automated analysis of spatiotemporal information in a kymograph was faster and more accurate than manual cell labelling for measuring retinal capillary flow.
Why the study?
Validation of commonly used kymograph approaches compared to manual cell labelling for measuring retinal capillary blood flow was lacking.
Automated kymograph analysis provides a faster and more accurate method for measuring retinal capillary blood flow compared to manual cell tracking.
Automated analysis may aid noisy retinal capillary flow tracking; leaves open clinical validation before practice adoption.
Two major approaches for tracking cellular motion across a range of biological tissues are the manual labelling of cells, and automated analysis of spatiotemporal information represented in a kymograph. Here we compare these two approaches for the measurement of retinal capillary flow, a particularly noisy application due to the low intrinsic contrast of single red blood cells (erythrocytes). Image data were obtained using a flood-illuminated adaptive optics ophthalmoscope at 750 nm, allowing the acquisition of flow information over several cardiac cycles which provided key information in evaluating tracking accuracy. Our results show that in addition to being much faster, the automated method is more accurate in the face of rapid flow and reduced image contrast. This study represents the first validation of commonly used kymograph approaches to capillary flow analysis.
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Neriyanuri et al. (2023) studied Retinal capillary blood flow. Automated analysis of spatiotemporal information in a kymograph vs. Manual labelling of cells was evaluated on Accuracy and speed of measuring retinal capillary flow. Automated analysis of spatiotemporal information in a kymograph was faster and more accurate than manual cell labelling for measuring retinal capillary flow.
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