Instant Image Denoising Plugin for ImageJ using Convolutional Neural Networks Conference Proceeding

Overview

abstract

We present a new convolutional neural network (CNN) based ImageJ plugin for fluorescence microscopy image denoising with an average improvement of 7.5 dB in peak signal-to-noise ratio (PSNR) and denoising instantly within 80 msec.

CU Boulder Authors

Zhang, Yide

publication date

January 1, 2020

Date in CU Experts

September 12, 2025 11:51 AM

Full Author List

Mannam V; Zhang Y; Zhu Y; Howard S

author count

4

presented at event

Microscopy Histopathology and Analytics Conference

Other Profiles

Digital Object Identifier (DOI)

https://doi.org/10.1364/microscopy.2020.mw2a.3

Additional Document Info

start page

MW2A.3

end page

MW2A.3