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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 …
Spoof surface plasmon photonics
In undergraduate courses on classical electromagnetism, it is taught that a perfect conductor
expels the electromagnetic (EM) field, and hence its surface is not able to support the …
expels the electromagnetic (EM) field, and hence its surface is not able to support the …
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 …
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 …
Robust and stable dual-band electrochromic smart window with multicolor tunability
Dual-band electrochromic smart windows (DESWs) can selectively control the transmittance
of near-infrared (NIR) and visible (VIS) light, which can significantly reduce building energy …
of near-infrared (NIR) and visible (VIS) light, which can significantly reduce building energy …
Self-supervised learning of hologram reconstruction using physics consistency
Existing applications of deep learning in computational imaging and microscopy mostly
depend on supervised learning, requiring large-scale, diverse and labelled training data …
depend on supervised learning, requiring large-scale, diverse and labelled training data …
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 staining for histology by deep learning
In pathology and biomedical research, histology is the cornerstone method for tissue
analysis. Currently, the histological workflow consumes plenty of chemicals, water, and time …
analysis. Currently, the histological workflow consumes plenty of chemicals, water, and time …
Recent progress and advances in electrochromic devices exhibiting infrared modulation
H Gong, W Li, G Fu, Q Zhang, J Liu, Y **… - Journal of Materials …, 2022 - pubs.rsc.org
Infrared electrochromic devices (IR-ECDs) that dynamically regulate the IR optical properties
of the objects have gained increasing attention in a wide range of applications such as …
of the objects have gained increasing attention in a wide range of applications such as …