111 citations · 731 across the 19 of their papers we have counts for
8 papers · 1 filter
Pixel super-resolved virtual staining of label-free tissue using diffusion models
Yijie Zhang, Luzhe Huang, Nir Pillar +3
Virtual staining of tissue offers a powerful tool for transforming label-free microscopy images of unstained tissue into equivalents of histochemically stained samples. This study…
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration
Luzhe Huang, Xiongye Xiao, Shixuan Li +4
The advance of diffusion-based generative models in recent years has revolutionized state-of-the-art (SOTA) techniques in a wide variety of image analysis and synthesis tasks, wher…
A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology
Luzhe Huang, Yuzhu Li, Nir Pillar +3
Histopathological staining of human tissue is essential for disease diagnosis. Recent advances in virtual tissue staining technologies using artificial intelligence (AI) alleviate…
Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks
Yijie Zhang, Luzhe Huang, Tairan Liu +5
Deep learning-based virtual staining was developed to introduce image contrast to label-free tissue sections, digitally matching the histological staining, which is time-consuming,…
Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network
Luzhe Huang, Xilin Yang, Tairan Liu +1
Deep learning-based methods in computational microscopy have been shown to be powerful but in general face some challenges due to limited generalization to new types of samples and…
Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks
Luzhe Huang, Tairan Liu, Xilin Yang +3
Digital holography is one of the most widely used label-free microscopy techniques in biomedical imaging. Recovery of the missing phase information of a hologram is an important st…
Deep learning-based virtual refocusing of images using an engineered point-spread function
Xilin Yang, Luzhe Huang, Yilin Luo +4
We present a virtual image refocusing method over an extended depth of field (DOF) enabled by cascaded neural networks and a double-helix point-spread function (DH-PSF). This netwo…
Single-shot autofocusing of microscopy images using deep learning
Yilin Luo, Luzhe Huang, Yair Rivenson +1
We demonstrate a deep learning-based offline autofocusing method, termed Deep-R, that is trained to rapidly and blindly autofocus a single-shot microscopy image of a specimen that…