Results 231 to 240 of about 1,682,382 (276)

Intelligent Stain‐Free Histology on Structural Colorimetric Nanocavities

open access: yesAdvanced Science, EarlyView.
Chen and Gan et al. introduce a label‐free imaging platform using inexpensive Nanocavity‐on‐Silicon (NOS) slides. These slides transform subtle tissue variations into vivid structural colors, enabling high‐contrast histological imaging under a regular optical microscope. This stain‐free approach reveals morphological details comparable to traditional H&
Qizhe Chen   +18 more
wiley   +1 more source

Allogeneic Immune Cell Perfusion Inhibits the Growth of Vascularized 3D In Vitro Tumor Models, Induces Vascular Regression and Desmoplasia, but Promotes Tumor Cell Invasion

open access: yesAdvanced Science, EarlyView.
This study presents a vascularized 3D tumor model to investigate immune–stromal–tumor interactions under allogeneic PBMC perfusion. While immune cells induced tumor shrinkage, they also promoted vascular regression, stromal activation, and cancer cell invasion.
Alexandra Raab   +8 more
wiley   +1 more source

Real‐Time In Vivo Cellular‐Level Imaging During Puncture

open access: yesAdvanced Science, EarlyView.
We present an artificial‐intelligence‐empowered integrative‐light‐field microendoscopy (AIM) needle that delivers real‐time in vivo, diffraction‐limited cellular‐level imaging during puncture and visualizes layered microstructures along the needle path. As a microscopic complement to CT/ultrasound, it improves sampling localization and adds preliminary
Huifang Gao   +13 more
wiley   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

open access: yesAdvanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu   +6 more
wiley   +1 more source

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

open access: yesAdvanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel   +12 more
wiley   +1 more source

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