4 citations · 9 across the 6 of their papers we have counts for
4 papers · 1 filter
De-Noising of Photoacoustic Microscopy Images by Deep Learning
Da He, Jiasheng Zhou, Xiaoyu Shang +2
As a hybrid imaging technology, photoacoustic microscopy (PAM) imaging suffers from noise due to the maximum permissible exposure of laser intensity, attenuation of ultrasound in t…
Image enhancement in acoustic-resolution photoacoustic microscopy enabled by a novel directional algorithm
Fei Feng, Siqi Liang, Sung-Liang Chen
Acoustic-resolution photoacoustic microscopy (AR-PAM) is a promising tool for microvascular imaging. In the focal region, resolution of AR-PAM is determined by the ultrasound trans…
Photoacoustic Microscopy with Sparse Data Enabled by Convolutional Neural Networks for Fast Imaging
Jiasheng Zhou, Da He, Xiaoyu Shang +3
Photoacoustic microscopy (PAM) has been a promising biomedical imaging technology in recent years. However, the point-by-point scanning mechanism results in low-speed imaging, whic…
Adaptive Weighting Depth-variant Deconvolution of Fluorescence Microscopy Images with Convolutional Neural Network
Da He, De Cai, Jiasheng Zhou +2
Fluorescence microscopy plays an important role in biomedical research. The depth-variant point spread function (PSF) of a fluorescence microscope produces low-quality images espec…