Results 171 to 180 of about 3,643 (247)

A deep learning‐enabled toolkit for the 3D segmentation of ventricular cardiomyocytes

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend 3D cardiomyocyte segmentation enables comprehensive analyses of myocardial microstructure in health and disease; however, it is technically demanding. We present an open‐source toolkit for this task, which reduces challenges associated with sample preparation, image restoration, segmentation and proofreading.
Joachim Greiner   +6 more
wiley   +1 more source

The potential of construction robotics to reduce airborne virus transmission in the construction industry in the UK and China. [PDF]

open access: yesHeliyon
Li L   +8 more
europepmc   +1 more source

PlantCV v4: Image analysis software for high‐throughput plant phenotyping

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract PlantCV is an open‐source Python project aimed at developing tools to address a range of image‐based, plant phenotyping questions. PlantCV has been used for more than 10 years to automate trait collection from image data, and the newest release, PlantCV version 4, continues to lower the barrier to entry for users without substantial coding ...
Haley Schuhl   +61 more
wiley   +1 more source

Spatial analysis of cell patterning to aid genetic and phenotypic understanding of grass stomatal density: A case study in maize

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Biological processes involve complex hierarchies where composite traits result from multiple component traits. However, holistically understanding of how sets of component traits interact to underpin genotype‐to‐phenotype relationships is generally lacking.
John G. Hodge, Andrew D. B. Leakey
wiley   +1 more source

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan   +1 more
wiley   +1 more source

Development of Full‐Scale Experiment‐Based Seismic Fragility Functions for Code‐Compliant Fire Sprinkler Piping Systems

open access: yesEarthquake Spectra, Volume 42, Issue 3, August 2026.
Fire sprinkler systems are critical for fire safety, but their functionality can be impaired by seismic damage. This study develops new seismic fragility functions for acceleration‐sensitive damage requiring monitoring, maintenance, and repair in code‐compliant fire sprinkler piping systems, using experimental data from full‐scale experimental tests ...
Jitendra Bhatta   +2 more
wiley   +1 more source

Wave Mechanics of Ciliary Proteins: Quantum‐Enabled Sensing and Energy Transfer in the “Cellular Antenna”

open access: yesAggregate, Volume 7, Issue 6, June 2026.
This review surveys eukaryotic cilia as putative quantum‐enabled sensory and regulatory centers. It highlights their multifaceted roles in the cell, focuses on the nontrivial roles of quantum mechanics in their membrane and cytoskeletal proteins, and introduces the essential building blocks enabling quantum properties to survive in the warm, wet, and ...
Daniel L. Bilezikian   +5 more
wiley   +1 more source

Optimized Deep Learning Framework for Diabetic Retinopathy Based on Systematic Multi‐Stage Transfer Learning and Predictive Risk Stratification

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
A multi‐stage transfer learning framework systematically optimizes CNN architectures for diabetic retinopathy detection and risk stratification from fundus images. EfficientNetB7 achieves 96% accuracy while a survival‐inspired model generates continuous risk scores aligned with DR severity for clinically meaningful patient risk assessment.
Mujidat Jibrin, Abdsamad Benkrid
wiley   +1 more source

Enhancing urothelial carcinoma diagnosis with artificial intelligence–integrated urine cytology: Biopsy‐validated accuracy and efficiency gain

open access: yesCancer Cytopathology, Volume 134, Issue 6, June 2026.
Abstract Background Urine cytology is a noninvasive tool for detecting urothelial carcinoma, yet its performance depends heavily on expert cytologists and time‐intensive glass slide review. Artificial intelligence (AI)–assisted digital cytology has emerged as a potential solution to improve diagnostic sensitivity and workflow efficiency.
Sigfred Lajara   +11 more
wiley   +1 more source

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