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Learning 3D biophysical cell properties from 2D images and cell-population statistics
Not provided in the abstract
biophysicsimage analysispopulation statisticsmachine learning
2609.22410
Builder Relevance
1h ago70%
Abstract
The paper presents a framework for inferring 3D cellular properties from 2D images using population statistics.
Reality Card
Core Claim
The framework successfully maps single 2D red-cell images to latent biophysical quantities and aggregates them to key metrics like mean corpuscular volume and mean corpuscular haemoglobin.
Method / Result
Achieved Pearson correlations of 0.86–0.98 against a Sysmex analyser using a dataset of 390 specimens and 1,105 acquisitions.
Limitations
The method does not provide explicit 3D reconstruction, which may limit its applicability in certain contexts.
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