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Found 3 papers, 2 papers with code
DistNet2D: Leveraging long-range temporal information for efficient segmentation and tracking
Extracting long tracks and lineages from videomicroscopy requires an extremely low error rate, which is challenging on complex datasets of dense or deforming cells.
Joint self-supervised blind denoising and noise estimation
Assuming that the noisy observations are independent conditionally to the signal, the networks can be jointly trained without clean training data.
DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine
The mother machine is a popular microfluidic device that allows long-term time-lapse imaging of thousands of cells in parallel by microscopy.
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