Results 271 to 280 of about 18,168,317 (392)
Unpaired Learning‐Enabled Nanotube Identification from AFM Images
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na +10 more
wiley +1 more source
Effects of simultaneous intake of dietary fermented foods and processed meat products on the risk of colorectal cancer. [PDF]
Lee DY +7 more
europepmc +1 more source
The role of proteinase enzymes in the process of conversion of muscle to meat
Emek Dümen
openalex +2 more sources
Dual genetic strategies for improving wheat processing quality by regulating purothionin accumulation to modulate gluten quantity and quality. The first strategy involves targeting signal peptide (SP) cleavage sites (e.g., through mutation) to indirectly reduce gluten content, thereby disrupting gluten network formation.
Yijie Liu +16 more
wiley +1 more source
Dietary Nitrosamines from Processed Meat Intake as Drivers of the Fecal Excretion of Nitrosocompounds. [PDF]
Ruiz-Saavedra S +5 more
europepmc +1 more source
Optimization of Authentication Methods for Processed Chicken Meat Products Based on ND5 Gene qPCR
Afifatul Achyar +5 more
openalex +2 more sources
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang +4 more
wiley +1 more source
High internal phase emulsion as a fat replacer: Effect on physico-chemical properties, microstructure and protein digestibility of processed meat during reheating. [PDF]
Xu L +6 more
europepmc +1 more source
Image Fusion for Super‐Resolution Mass Spectrometry Imaging of Plant Tissue
A loss controlled residual network (LCRN) workflow is developed for super‐resolution fusion of plant mass spectrometry imaging data. LCRN uses a novel edge perceptual loss metric to preserve complex plant tissue morphology. LCRN achieves up to 20‐fold magnification while effectively combining chemical information from mass spectrometry with ...
Yuchen Zou +3 more
wiley +1 more source

