Domain Specific AI Segmentation of IMPDH2 Rod/Ring Structures in Mouse Embryonic Stem Cells
BMC Biology(2025)
William Henry Duncan Building
Abstract
Inosine monophosphate dehydrogenase 2 (IMPDH2) is an enzyme that catalyses the rate-limiting step of guanine nucleotides. In mouse embryonic stem cells (ESCs), IMPDH2 forms large multi-protein complexes known as rod-ring (RR) structures that dissociate when ESCs differentiate. Manual analysis of RR structures from confocal microscopy images, although possible, is not feasible on a large scale due to the quantity of RR structures present in each field of view. To address this analysis bottleneck, we have created a fully automatic RR image classification pipeline to segment, characterise and measure feature distributions of these structures in ESCs. We find that this model can automatically segment images with a Dice score of over 80
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Key words
IMPDH2,Rods and rings,Loukoumasomes,Cytoophidia,Nematosomes,Embryonic stem cells,AI segmentation,Deep learning,Image processing,Convolutional neural networks
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