Results 151 to 160 of about 105,792 (367)
Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley +1 more source
Automatic fetal biometry prediction using a novel deep convolutional network architecture.
M. Ghelich Oghli +9 more
semanticscholar +1 more source
Autologous tumor‐infiltrating lymphocyte (TIL) therapy shows promising efficacy in acral melanoma, yet determinants of durable response remain unclear. By integrating single‐cell transcriptomics and TCR sequencing, this study reveals that TIL products enriched for T follicular helper and intermediate exhausted T cells establish persistent clonal ...
Chao Zhang +12 more
wiley +1 more source
Semi‐Transparent Organic Photodiodes with Near‐Infrared Detection Fabricated by Inkjet Printing
This work shows the inkjet printing of semi‐transparent and opaque organic photodiodes that enable light detection in the near‐infrared regime. Their transparency and high detection speed make them ideal for applications in soft robotics, wearable devices, and light communication systems.
Luis Arturo Ruiz‐Preciado +3 more
wiley +1 more source
A biocompatible graphene/ZnO optical charge trap memory (CTM) is reported with over 54 h retention, enabled by interfacial photodoping. Using transient absorption spectroscopy and electrical analysis, charge transfer quenching is elucidated and reveal that a large energy barrier at the interface is responsible for long‐term memory retention.
Seungmin Shin +10 more
wiley +1 more source
Hany Ahmed Helaly,* Osama Ramadan Elnaggar,* Mohsen Abou Shousha, Amr Mohamed Elhady Ophthalmology Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt*These authors contributed equally to this workCorrespondence: Hany ...
Helaly HA +3 more
doaj
ObjectiveTo assess the accuracy of corpus callosum (CC) biometry, including sub-segments, using 3D super-resolution fetal brain MRI (SR) compared to 2D or 3D ultrasound (US) and clinical low-resolution T2-weighted MRI (T2WS).MethodFetal brain biometry ...
Samuel Lamon +13 more
doaj +1 more source
Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted MRI [PDF]
Samuel Lamon +6 more
openalex +1 more source

