Results 211 to 220 of about 64,067 (293)
From observation to understanding: A multi‐agent framework for smart microscopy
Abstract Smart microscopy represents a paradigm shift in biological imaging, moving from passive observation tools to active collaborators in scientific inquiry. Enabled by advances in automation, computational power, and artificial intelligence, these systems are now capable of adaptive decision‐making and real‐time experimental control.
P. S. Kesavan, Pontus Nordenfelt
wiley +1 more source
Making genomic data FAIR through effective Data Portals. [PDF]
Speir ML +11 more
europepmc +1 more source
Building capacity in imaging data management
Abstract Effective management of imaging data is critical to ensuring reproducibility, accessibility, and long‐term value of image‐based biological research. However, good data management remains a major challenge across imaging facilities, with lack of standardised practices and limited training opportunities.
Silvia Melina Velasquez +23 more
wiley +1 more source
Federated, governed, and interoperable? The emerging architecture of public human genomic data infrastructures: a European perspective. [PDF]
Tangaro MA +3 more
europepmc +1 more source
Running an electron microscopy core facility
Abstract As electron microscopes became more costly, technically complex, and integral to a wide range of scientific fields, centralised electron microscopy (EM) core facilities have become essential for maintaining accessibility, performance, and quality.
Ilkka Miinalainen, Eija Jokitalo
wiley +1 more source
Pre-Meta: priors-augmented retrieval for LLM-based metadata generation. [PDF]
Tinn P +7 more
europepmc +1 more source
A well‐preserved 20 post‐conception week human brain was obtained and finely dissected into 18 anatomically distinct regions, including the pia mater. Each region underwent in‐depth proteomic analysis, encompassing both total protein content and post‐translational modifications.
S. Bandiera +9 more
wiley +1 more source
Study overview and clustering results in the iSPHYNCS cohort. Participant demographics are summarized in a baseline table. Questionnaire data and metadata were processed through an unsupervised clustering pipeline. A Sankey plot illustrates individual assignment across clusters by diagnostic group.
Rafael Morand +19 more
wiley +1 more source
Automated identification of contextually relevant biomedical entities with grounded LLMs. [PDF]
Watter M +5 more
europepmc +1 more source

