Efficiently accelerated bioimage analysis with NanoPyx, a Liquid Engine-powered Python framework.
Saved in:
| Title: | Efficiently accelerated bioimage analysis with NanoPyx, a Liquid Engine-powered Python framework. |
|---|---|
| Authors: | Saraiva BM; Instituto Gulbenkian de Ciência, Oeiras, Portugal.; Gulbenkian Institute for Molecular Medicine, Oeiras, Portugal., Cunha I; Instituto Gulbenkian de Ciência, Oeiras, Portugal.; Instituto Superior Técnico, Lisbon, Portugal.; Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden., Brito AD; Instituto Gulbenkian de Ciência, Oeiras, Portugal.; Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal., Follain G; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland., Portela R; Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal., Haase R; DFG Cluster of Excellence 'Physics of Life', TU Dresden, Dresden, Germany., Pereira PM; Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal., Jacquemet G; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.; Turku Bioimaging, University of Turku and Åbo Akademi University, Turku, Finland.; Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, Turku, Finland.; InFLAMES Research Flagship Center, Åbo Akademi University, Turku, Finland., Henriques R; Instituto Gulbenkian de Ciência, Oeiras, Portugal. r.henriques@itqb.unl.pt.; Gulbenkian Institute for Molecular Medicine, Oeiras, Portugal. r.henriques@itqb.unl.pt.; Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal. r.henriques@itqb.unl.pt.; UCL-Laboratory for Molecular Cell Biology, University College London, London, UK. r.henriques@itqb.unl.pt. |
| Source: | Nature methods [Nat Methods] 2025 Feb; Vol. 22 (2), pp. 283-286. Date of Electronic Publication: 2025 Jan 02. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101215604 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1548-7105 (Electronic) Linking ISSN: 15487091 NLM ISO Abbreviation: Nat Methods Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
