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Found 7 papers, 4 papers with code
Convolutional Neural Network Transformer (CNNT) for Fluorescence Microscopy image Denoising with Improved Generalization and Fast Adaptation
Previous methods are based on convolutional neural networks (CNNs) which generally require more time-consuming training of separate models for each new imaging experiment, impairing the applicability and generalization.
Prediction of Cellular Identities from Trajectory and Cell Fate Information
Determining cell identities in imaging sequences is an important yet challenging task.
Live-cell imaging powered by computation
The proliferation of microscopy methods for live-cell imaging offers many new possibilities for users but can also be challenging to navigate.
Phase Diverse Phase Retrieval for Microscopy: Comparison of Gaussian and Poisson Approaches
Here, the Gaussian- and Poisson-based estimation algorithms are implemented and compared for widefield microscopy in simulation.
A Semi-automatic Cell Tracking Process Towards Completing the 4D Atlas of C. elegans Development
The nematode Caenorhabditis elegans (C. elegans) is used as a model organism to better understand developmental biology and neurobiology.
Multiple Hypothesis Hypergraph Tracking for Posture Identification in Embryonic Caenorhabditis elegans
Current methods in multiple object tracking (MOT) rely on independent object trajectories undergoing predictable motion to effectively track large numbers of objects.
An Exact Hypergraph Matching Algorithm for Nuclear Identification in Embryonic Caenorhabditis elegans
Finding an optimal correspondence between point sets is a common task in computer vision.
