3 papers
physics.optics2025
DeepPD: Joint Phase and Object Estimation from Phase Diversity with Neural Calibration of a Deformable Mirror
Magdalena C. Schneider, Courtney Johnson, Cedric Allier +6
Sample-induced aberrations and optical imperfections limit the resolution of fluorescence microscopy. Phase diversity is a powerful technique that leverages complementary phase inf…
q-bio.QM2024
Convolutional Neural Network Transformer (CNNT) for Fluorescence Microscopy image Denoising with Improved Generalization and Fast Adaptation
Azaan Rehman, Alexander Zhovmer, Ryo Sato +8
Deep neural networks have been applied to improve the image quality of fluorescence microscopy imaging. Previous methods are based on convolutional neural networks (CNNs) which gen…
q-bio.QM2024
Prediction of Cellular Identities from Trajectory and Cell Fate Information
Baiyang Dai, Jiamin Yang, Hari Shroff +1
Determining cell identities in imaging sequences is an important yet challenging task. The conventional method for cell identification is via cell tracking, which is complex and ca…