Third harmonic generation (THG) microscopy shows great potential for instant pathology of
brain tumor tissue during surgery. However, due to the maximal permitted exposure of laser …

We present an unsupervised learning denoising method, RepE (representation and
enhancement), designed for nonlinear optical microscopy images, such as second harmonic …

Third harmonic generation (THG) microscopy shows great potential for instant pathology of
brain tissue during surgery. However, the rich morphologies contained and the noise …

This study explored the application of deep learning in second harmonic generation (SHG)
microscopy, a rapidly growing area. This study focuses on the impact of glycerol …

In computer-aided diagnosis (CAD) focused on microscopy, denoising improves the quality
of image analysis. In general, the accuracy of this process may depend both on the …

In computer-aided diagnosis (CAD) focused on microscopy, denoising improves the quality
of image analysis. In general, the accuracy of this process may depend both on the …

Image denoising is of vital importance in many imaging or computer vision related areas.
With the convolutional neural networks showing strong capability in computer vision tasks …

Scanning electron microscopy (SEM) is of great significance for analyzing the ultrastructure.
However, due to the requirements of data throughput and electron dose of biological …

Fluorescence microscopy is a key driver to promote discoveries of biomedical research.
However, with the limitation of microscope hardware and characteristics of the observed …

Image denoising is a crucial step in medical image analysis, as it can significantly enhance
the visual quality of noisy image samples and accelerate the diagnostic process. In the case …