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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…