Cells contain a wealth of information about health and disease, but extracting that data reliably from microscope images remains a major challenge. Many important differences between healthy and ...
This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...
Iran’s military retaliation, along with the political defiance of its new leaders, evokes a decades-old pattern of unrealized goals for American interventions in the region. By Neil MacFarquhar After ...
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Analysis and reconstruction of a warp-weighted loom from the second millennium BC site of Cabezo Redondo, Spain, provides an unprecedented glimpse into the development of textile technology in the ...
In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...
Larotrectinib in Patients With Tumors With NTRK Fusions: Results From the NCI-MATCH ECOG-ACRIN Trial (EAY131) Subprotocol EAY131-Z1E Advancements in profiling technologies have deepened our ...
This work describes a useful computational tool for automated morphometry of dynamic organelles from microscope images. However, the supporting evidence and novelty of the manuscript as presented are ...
This repository contains an ImageJ/FIJI macro used to assist part of the image analysis performed in the study: "Characterizing mitochondrial phenotypes and MERCS in aged human skeletal muscle ...
To characterize and compare the morphology of the zonular apparatus in pigs, cats, and dogs to identify the optimal animal model for studying zonular pathophysiology in angle-closure mechanisms.
These areas, critical for both biodiversity and global food security, face increasing threats to their ecosystems and economic stability. To tackle this, the team proposes a groundbreaking ...
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