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Plant morphometry has traditionally relied on destructive optical scanning of detached specimens or cumbersome handheld devices. Non-planar specimens such as flowers or stems are often incompatible with the hardware tools. Image analysis using smartphone cameras and apps is non-destructive and higher-throughput, but handheld imaging introduces random measurement error due to the angle of the camera relative to the object (perspective distortion). Morphometric Analysis Toolbox for Segmentation (MATS) is an open-source application that converts smartphone photographs of plant specimens taken against a printable, QR-coded calibration template into orthogonal images analogous to those produced by a flatbed scanner. Using either classic computer vision or open source AI models, MATS automates crop-agnostic segmentation strategies and delivers analysis-ready morphometric measurements of the specimen.
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Software application for analyzing snapshots of developmental processes and inferring ancestor-descendant relationships and trajectories from time-course single-cell gene-expression data using optimal transport.
Software application and R/Python package for predicting cellular potency categories and absolute developmental potential from single-cell RNA-sequencing data.
Core provides personal computing equipment, Institute networking, database and information applications, and a high-performance cluster optimised for high throughput computation and machine learning.
Core is centralized repository of zebrafish services with its own fish facility and experimental space.
Software Python framework that links pooled CRISPR-Cas9 perturbations to single-cell spatial phenotypes. It segments cells, nuclei, pathogens and organelles in high-content microscopy images with Cellpose, measures morphology, intensity, texture, spatial and colocalization features into a single SQLite project, supports keyboard-driven annotation and active learning, trains image and measurement-based classifiers with held-out performance recorded per checkpoint, maps sequencing reads to wells and gRNA barcodes, and estimates per-guide and per-gene effects by multiple linear regression to produce a ranked hit list. It runs as a Qt desktop application or headlessly on a workstation, server or cluster, on Linux, macOS and Windows, with CUDA, ROCm, Metal and Intel XPU acceleration.
German biotechnology brand that manufactures primary antibodies used in cancer research and immunotherapy development. Its products are primarily designed for tissue-based detection of cancer immunology checkpoint biomarkers.
Software pipeline to automate centromere specific enrichment. Used for data which contain reads from the centromere. This pipeline ensures the meaningful interpretation by mapping and enrichment score assignment.
Quantitative image analysis software designed for 2D and 3D microscopy of organoids, spheroids and cellular models. It enables automated analysis of large image datasets, from segmentation of organoids, cells and nuclei to quantitative phenotypic and spatial analysis. AssayScope supports fluorescence microscopy and high-content imaging workflows, combining AI-assisted segmentation with morphological, intensity and spatial measurements. It includes interactive visualization, 3D rendering, data exploration and gating tools for the quantitative characterization of complex biological models.
HistoMetriX is a quantitative histology and digital pathology image analysis software for biomedical research. It enables AI-assisted tissue segmentation, cell detection and classification, biomarker quantification, morphological and intensity measurements, and spatial analysis from brightfield and fluorescence microscopy images, including whole-slide images and tissue microarrays. Custom deep-learning models can be trained to identify tissue structures and biological phenotypes specific to a study.
Core is research specific histology laboratory providing custom services for individual investigators.
Carolina Microscopy is a merger of four microscopy cores across campus: the Biology Microscopy Core (BIO), the Hooker Imaging Core (HIC), the Microscopy Services Laboratory (MSL), and the Neuroscience Microscopy Core (NMC). It brings together their light microscopy (LM), electron microscopy (EM) and image analysis (IA) equipment and expertise under one administrative unit. Individual locations, equipment, and staff remain unchanged.
Web-based and standalone application that facilitates multi-omics data visualization, exploration, integration, and analysis by providing easy access to dedicated and interactive protocols. It implements classical ordination techniques and the inference of omics-based (multilayer) networks to mine complex biological systems, and identify robust biomarkers linked to specific contextual parameters or biological states.
Core provides support and assistance for sequencing projects, including experimental design, library preparation, Illumina sequencing, and initial data processing (demultiplexing and FASTQ file generation).
public land-grant research university in Stillwater, Oklahoma, United States. The university was established in 1890 under the legislation of the Morrill Act.
Core provides next-generation sequencing services, elevating OSU’s research community and beyond.
Portal designed to serve as a comprehensive resource for researchers with tools for exploring publications, phenotypes, datasets, and biospecimens derived from experimental models of Down syndrome.
Peptide Search Engine Integrated into the MaxQuant Environment. Andromeda can function independently or as an integrated search engine of MaxQuant computational proteomics platform. The combination enables analysis of large data sets in a simple analysis workflow on a desktop computer. For searching individual spectra Andromeda is also accessible via a web server. Used to identify cofragmented peptides, significantly improving the total number of identified peptides.
Software biomedical AI agent that automates complex research workflows across biological domains using a unified environment of analysis tools, databases, and software packages. Acts as a virtual assistant for scientists to plan, code, and execute multi-step experiments. Used to autonomously execute range of research tasks across diverse biomedical subfields.