Deep learning-based virtual staining, segmentation, and classification in label-free photoacoustic histology of human specimens
In pathological diagnostics, histological images highlight the oncological features of excised
specimens, but they require laborious and costly staining procedures. Despite recent …
specimens, but they require laborious and costly staining procedures. Despite recent …
Image analyses for engineering advanced tissue biomanufacturing processes
MC Allenby, MA Woodruff - Biomaterials, 2022 - Elsevier
Industrial cell culture processes are inherently expensive, time-consuming, and variable.
These limitations have become a critical bottleneck for the industrial translation of human …
These limitations have become a critical bottleneck for the industrial translation of human …
Label-and slide-free tissue histology using 3D epi-mode quantitative phase imaging and virtual hematoxylin and eosin staining
Histological staining of tissue biopsies, especially hematoxylin and eosin (H&E) staining,
serves as the benchmark for disease diagnosis and comprehensive clinical assessment of …
serves as the benchmark for disease diagnosis and comprehensive clinical assessment of …
Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy
The goal of oncologic surgeries is complete tumor resection, yet positive margins are
frequently found postoperatively using gold standard H&E-stained histology methods …
frequently found postoperatively using gold standard H&E-stained histology methods …
Automatic diagnosis and classification of breast surgical samples with dynamic full-field OCT and machine learning
J Scholler, D Mandache, MC Mathieu… - Journal of Medical …, 2023 - spiedigitallibrary.org
Purpose The adoption of emerging imaging technologies in the medical community is often
hampered when they provide a new unfamiliar contrast that requires experience to be …
hampered when they provide a new unfamiliar contrast that requires experience to be …
Structural constrained virtual histology staining for human coronary imaging using deep learning
Histopathological analysis is crucial in artery characterization for coronary artery disease
(CAD). However, histology requires an invasive and time-consuming process. In this paper …
(CAD). However, histology requires an invasive and time-consuming process. In this paper …
Structurally constrained and pathology-aware convolutional transformer generative adversarial network for virtual histology staining of human coronary optical …
Significance There is a significant need for the generation of virtual histological information
from coronary optical coherence tomography (OCT) images to better guide the treatment of …
from coronary optical coherence tomography (OCT) images to better guide the treatment of …
[HTML][HTML] Enhanced Multiscale Human Brain Imaging by Semi-supervised Digital Staining and Serial Sectioning Optical Coherence Tomography
A major challenge in neuroscience is to visualize the structure of the human brain at different
scales. Traditional histology reveals micro-and meso-scale brain features, but suffers from …
scales. Traditional histology reveals micro-and meso-scale brain features, but suffers from …
SCPAT-GAN: Structural Constrained and Pathology Aware Convolutional Transformer-GAN for Virtual Histology Staining of Human Coronary OCT images
There is a significant need for the generation of virtual histological information from coronary
optical coherence tomography (OCT) images to better guide the treatment of coronary artery …
optical coherence tomography (OCT) images to better guide the treatment of coronary artery …