High-throughput animal tracking and quantitative behaviour analysis detects diverse phenotypes in genetic disease models at a scale that makes drug screens possible.

compaRe can be used to optimize cytometric high-parameter immunophenotypic characterization of heterogeneous cell populations.

A new versatile, autonomous, robotic experimental platform (MAPLE) can increase the throughput of biological experiments by automating the growth and phenotyping of a variety of model organisms.

The 'low water' agar assay provides a reliable and practical high-throughput method for studying plant molecular signaling responses to drought stress.

A high-throughput phenotypic human sperm screening platform was developed which allows for major drug discovery programmes for male contraception.

Comprehensive dataset of high-level cognitive assessment in mouse models of neurodegeneration, accompanied by an open-access database/repository to change the paradigm of how cognitive studies in animal models can be shared/re-used.

An open-source python package for phenotype analyses provides a versatile, modular and user-friendly solution to determine complementary fitness-related traits from large-scale assays of microbial colonies.

The combination of molecular infrared fingerprinting and machine learning enables the detection of breast, bladder, prostate, and lung cancer based on liquid blood serum and plasma, providing a general framework for the minimally invasive investigation of oncological conditions.

An automatic computer vision analysis approach can assist in the diagnosis of rare genetic disorders by using ordinary photographs of patients.

Phenomics assays reveal hundreds of mutant phenotypes for long non-coding RNAs grown in specific environmental or physiological contexts, indicating that most of these RNAs exert cellular functions under certain conditions.