3 papers
cs.CV2026
Unsupervised Learning of Cell Instances with Generative Routing Pyramids
Ziwen Liu, Martin Weigert
Identifying and representing object instances such as cells or nuclei is a common task in microscopy image analysis. Established machine learning workflows typically use supervised…
physics.optics2024
WaveOrder: A differentiable wave-optical framework for scalable biological microscopy with diverse modalities
Talon Chandler, Ivan E. Ivanov, Gabriel Sturm +23
Correlative computational microscopy can accelerate imaging and modeling of cellular dynamics by relaxing trade-offs inherent to dynamic imaging. Existing computational microscopy…
cs.CV2024
DynaCLR: Contrastive Learning of Cellular Dynamics with Temporal Regularization
Eduardo Hirata-Miyasaki, Soorya Pradeep, Ziwen Liu +10
We report DynaCLR, a self-supervised method for embedding cell and organelle Dynamics via Contrastive Learning of Representations of time-lapse images. DynaCLR integrates single-ce…