Deep learning-enabled virtual histological staining of biological samples

B Bai, X Yang, Y Li, Y Zhang, N Pillar… - Light: Science & …, 2023 - nature.com
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 …

Spoof surface plasmon photonics

FJ Garcia-Vidal, AI Fernández-Domínguez… - Reviews of Modern …, 2022 - APS
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 …

Deep learning-based transformation of H&E stained tissues into special stains

K de Haan, Y Zhang, JE Zuckerman, T Liu… - Nature …, 2021 - nature.com
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 …

Deep learning-based virtual staining, segmentation, and classification in label-free photoacoustic histology of human specimens

C Yoon, E Park, S Misra, JY Kim, JW Baik… - Light: Science & …, 2024 - nature.com
In pathological diagnostics, histological images highlight the oncological features of excised
specimens, but they require laborious and costly staining procedures. Despite recent …

Roadmap on label‐free super‐resolution imaging

VN Astratov, YB Sahel, YC Eldar… - Laser & photonics …, 2023 - Wiley Online Library
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 …

Robust and stable dual-band electrochromic smart window with multicolor tunability

Q Wang, S Cao, Q Meng, K Wang, T Yang, J Zhao… - Materials …, 2023 - pubs.rsc.org
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 …

Self-supervised learning of hologram reconstruction using physics consistency

L Huang, H Chen, T Liu, A Ozcan - Nature Machine Intelligence, 2023 - nature.com
Existing applications of deep learning in computational imaging and microscopy mostly
depend on supervised learning, requiring large-scale, diverse and labelled training data …

Accelerating histopathology workflows with generative AI-based virtually multiplexed tumour profiling

P Pati, S Karkampouna, F Bonollo… - Nature machine …, 2024 - nature.com
Understanding the spatial heterogeneity of tumours and its links to disease initiation and
progression is a cornerstone of cancer biology. Presently, histopathology workflows heavily …

Virtual staining for histology by deep learning

L Latonen, S Koivukoski, U Khan, P Ruusuvuori - Trends in Biotechnology, 2024 - cell.com
In pathology and biomedical research, histology is the cornerstone method for tissue
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 …