Search Results for author: Yide Zhang

Found 5 papers, 5 papers with code

Deep learning-based super-resolution fluorescence microscopy on small datasets

1 code implementation7 Mar 2021 Varun Mannam, Yide Zhang, Xiaotong Yuan, Scott Howard

However, using the new approach, a network can be trained to achieve super-resolution images from this small dataset.


Machine learning for faster and smarter fluorescence lifetime imaging microscopy

1 code implementation5 Aug 2020 Varun Mannam, Yide Zhang, Xiao-Tong Yuan, Cara Ravasio, Scott S. Howard

Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique in biomedical research that uses the fluorophore decay rate to provide additional contrast in fluorescence microscopy.

BIG-bench Machine Learning lifetime image denoising

A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images

4 code implementations CVPR 2019 Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Si-Yuan Zhang, Cody Smith, Scott Howard

In this paper, we fill this gap by constructing a dataset - the Fluorescence Microscopy Denoising (FMD) dataset - that is dedicated to Poisson-Gaussian denoising.


Super-resolution fluorescence microscopy by stepwise optical saturation

1 code implementation10 Jan 2018 Yide Zhang, Prakash D. Nallathamby, Genevieve D. Vigil, Aamir A. Khan, Devon E. Mason, Joel D. Boerckel, Ryan K. Roeder, Scott S. Howard

For example, linearly combining (scaling and subtracting) two images obtained at regular powers extends resolution by a factor of $1. 4$ beyond the diffraction limit.

Optics Biological Physics

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