[HTML][HTML] A review of current advancements in high surface quality injection molding: Measurement, influencing factors, prediction, and control

J Gim, LS Turng - Polymer Testing, 2022 - Elsevier
Injection molding is an efficient manufacturing process for mass-producing parts with
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 …

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) …

Complementary encoding of spatial information in hippocampal astrocytes

S Curreli, J Bonato, S Romanzi, S Panzeri, T Fellin - PLoS biology, 2022 - journals.plos.org
Calcium dynamics into astrocytes influence the activity of nearby neuronal structures.
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 …

Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting

AX Lu, OZ Kraus, S Cooper… - PLoS computational …, 2019 - journals.plos.org
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 …

[HTML][HTML] Near-infrared-based determination of mass-based material flow compositions in mechanical recycling of post-consumer plastics: Technical feasibility enables …

N Kroell, X Chen, B Küppers, J Lorenzo… - Resources …, 2023 - Elsevier
Mass-based material flow compositions (MFCOs) are crucial to assess and optimize
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 …

Slideflow: deep learning for digital histopathology with real-time whole-slide visualization

JM Dolezal, S Kochanny, E Dyer, S Ramesh… - BMC …, 2024 - Springer
Deep learning methods have emerged as powerful tools for analyzing histopathological
images, but current methods are often specialized for specific domains and software …

OrganoidTracker: Efficient cell tracking using machine learning and manual error correction

RNU Kok, L Hebert, G Huelsz-Prince, YJ Goos… - PLoS …, 2020 - journals.plos.org
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 …