Deep learning-enabled virtual histological staining of biological samples
Histological staining is the gold standard for tissue examination in clinical pathology and life-
science research, which visualizes the tissue and cellular structures using chromatic dyes or …
science research, which visualizes the tissue and cellular structures using chromatic dyes or …
Roadmap on Label‐Free Super‐Resolution Imaging
Label‐free super‐resolution (LFSR) imaging relies on light‐scattering processes in
nanoscale objects without a need for fluorescent (FL) staining required in super‐resolved FL …
nanoscale objects without a need for fluorescent (FL) staining required in super‐resolved FL …
[HTML][HTML] Deep learning-based transformation of H&E stained tissues into special stains
Pathology is practiced by visual inspection of histochemically stained tissue slides. While the
hematoxylin and eosin (H&E) stain is most commonly used, special stains can provide …
hematoxylin and eosin (H&E) stain is most commonly used, special stains can provide …
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 …
Accelerating histopathology workflows with generative AI-based virtually multiplexed tumour profiling
Understanding the spatial heterogeneity of tumours and its links to disease initiation and
progression is a cornerstone of cancer biology. Presently, histopathology workflows heavily …
progression is a cornerstone of cancer biology. Presently, histopathology workflows heavily …
Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning
Systemic amyloidosis involves the deposition of misfolded proteins in organs/tissues,
leading to progressive organ dysfunction and failure. Congo red is the gold-standard …
leading to progressive organ dysfunction and failure. Congo red is the gold-standard …
[HTML][HTML] Application of machine learning in 3D bioprinting: focus on development of big data and digital twin
The application of machine learning (ML) in bioprinting has attracted considerable attention
recently. Many have focused on the benefits and potential of ML, but a clear overview of how …
recently. Many have focused on the benefits and potential of ML, but a clear overview of how …
Deep learning for biospectroscopy and biospectral imaging: state-of-the-art and perspectives
With the advances in instrumentation and sampling techniques, there is an explosive growth
of data from molecular and cellular samples. The call to extract more information from the …
of data from molecular and cellular samples. The call to extract more information from the …
Biopsy-free in vivo virtual histology of skin using deep learning
An invasive biopsy followed by histological staining is the benchmark for pathological
diagnosis of skin tumors. The process is cumbersome and time-consuming, often leading to …
diagnosis of skin tumors. The process is cumbersome and time-consuming, often leading to …
Misalignment resilient diffractive optical networks
As an optical machine learning framework, Diffractive Deep Neural Networks (D2NN) take
advantage of data-driven training methods used in deep learning to devise light–matter …
advantage of data-driven training methods used in deep learning to devise light–matter …