[HTML][HTML] A review of current advancements in high surface quality injection molding: Measurement, influencing factors, prediction, and control
Injection molding is an efficient manufacturing process for mass-producing parts with
complicated geometry, consistent quality, and attractive appearance. With the increasing …
complicated geometry, consistent quality, and attractive appearance. With the increasing …
Cooltools: Enabling high-resolution Hi-C analysis in Python
Open2C, N Abdennur, S Abraham… - PLOS Computational …, 2024 - journals.plos.org
Chromosome conformation capture (3C) technologies reveal the incredible complexity of
genome organization. Maps of increasing size, depth, and resolution are now used to probe …
genome organization. Maps of increasing size, depth, and resolution are now used to probe …
Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization
J Toivonen, I Montoya Perez, P Movahedi, H Merisaari… - PloS one, 2019 - journals.plos.org
Purpose To develop and validate a classifier system for prediction of prostate cancer (PCa)
Gleason score (GS) using radiomics and texture features of T2-weighted imaging (T2w) …
Gleason score (GS) using radiomics and texture features of T2-weighted imaging (T2w) …
Complementary encoding of spatial information in hippocampal astrocytes
Calcium dynamics into astrocytes influence the activity of nearby neuronal structures.
However, because previous reports show that astrocytic calcium signals largely mirror …
However, because previous reports show that astrocytic calcium signals largely mirror …
Optimized cDICE for efficient reconstitution of biological systems in giant unilamellar vesicles
L Van de Cauter, F Fanalista, L Van Buren… - ACS Synthetic …, 2021 - ACS Publications
Giant unilamellar vesicles (GUVs) are often used to mimic biological membranes in
reconstitution experiments. They are also widely used in research on synthetic cells, as they …
reconstitution experiments. They are also widely used in research on synthetic cells, as they …
Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting
Cellular microscopy images contain rich insights about biology. To extract this information,
researchers use features, or measurements of the patterns of interest in the images. Here …
researchers use features, or measurements of the patterns of interest in the images. Here …
[HTML][HTML] Near-infrared-based determination of mass-based material flow compositions in mechanical recycling of post-consumer plastics: Technical feasibility enables …
Mass-based material flow compositions (MFCOs) are crucial to assess and optimize
mechanical plastic recycling processes. While MFCOs are determined by manual sorting …
mechanical plastic recycling processes. While MFCOs are determined by manual sorting …
Electrochromic Corundum-like Compound Based on the Reversible (De)insertion of Lithium: Li2Ni2W2O9
S Redor, L Godeffroy, G Rousse… - Journal of the …, 2023 - ACS Publications
The search for efficient anodic electrochromic materials is essential to the development of
electrochromic devices, such as smart windows. Magnetron-sputtered lithium-nickel …
electrochromic devices, such as smart windows. Magnetron-sputtered lithium-nickel …
Slideflow: deep learning for digital histopathology with real-time whole-slide visualization
Deep learning methods have emerged as powerful tools for analyzing histopathological
images, but current methods are often specialized for specific domains and software …
images, but current methods are often specialized for specific domains and software …
OrganoidTracker: Efficient cell tracking using machine learning and manual error correction
Time-lapse microscopy is routinely used to follow cells within organoids, allowing direct
study of division and differentiation patterns. There is an increasing interest in cell tracking in …
study of division and differentiation patterns. There is an increasing interest in cell tracking in …