PNAS

Cryogenic electron tomography by the numbers: Charting underexplored lineages in structural cell biology

Cryogenic electron tomography (cryo-ET) is a powerful method for imaging inside cells, but it is challenging and typically limited to a few cells per study. We consolidate and quantify data from ...
PNAS

A minimal vertex model explains how the amnioserosa avoids fluidization during Drosophila dorsal closure

During embryogenesis, cells in tissues can undergo significant shape changes. Many epithelial tissues fluidize, i.e., cells exchange neighbors, when the average cell shape index increases above a ...
Frontiers

Automatic and Accurate Acquisition of Stem-Related Phenotypes of Mature Soybean Based on Deep Learning and Directed Search Algorithms

The stem-related phenotype of mature stage soybean is important in soybean material selection. How to improve on traditional manual methods and obtain the stem-related phenotype of soybean more ...
Frontiers

TAIM: Tool for Analyzing Root Images to Calculate the Infection Rate of Arbuscular Mycorrhizal Fungi

Arbuscular mycorrhizal fungi (AMF) infect plant roots and are hypothesized to improve plant growth. Recently, AMF is now available for axenic culture. Therefore, AMF is expected to be used as a ...
Europe PMC

Comparing different supervised machine learning algorithms for disease prediction.

Supervised machine learning algorithms have been a dominant method in the data mining field. Disease prediction using health data has recently shown a potential application area for these methods.