1 code implementation • 29 Jun 2021 • Liming Wu, Shuo Han, Alain Chen, Paul Salama, Kenneth W. Dunn, Edward J. Delp
Robust and accurate nuclei centroid detection is important for the understanding of biological structures in fluorescence microscopy images.
1 code implementation • 7 Mar 2021 • Varun Mannam, Yide Zhang, Xiaotong Yuan, Takashi Hato, Pierre C. Dagher, Evan L. Nichols, Cody J. Smith, Kenneth W. Dunn, Scott Howard
By integrating image denoising using the trained deep learning model on the FLIM data, provide accurate FLIM phasor measurements are obtained.
no code implementations • 13 Sep 2019 • David Joon Ho, Shuo Han, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp
Fluorescence microscopy is an essential tool for the analysis of 3D subcellular structures in tissue.
no code implementations • 19 Apr 2019 • Soonam Lee, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp
Due to image blurring image deconvolution is often used for studying biological structures in fluorescence microscopy.
no code implementations • 10 Feb 2018 • Soonam Lee, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp
The segmentation results of the proposed method are visually and numerically compared with other microscopy segmentation methods.
no code implementations • 22 Jan 2018 • Chichen Fu, Soonam Lee, David Joon Ho, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp
Advances in fluorescence microscopy enable acquisition of 3D image volumes with better image quality and deeper penetration into tissue.