CLIJ: GPU-accelerated image processing for everyone

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Bibliographische Detailangaben
Veröffentlicht in:	Nature methods 2020-01, Vol.17 (1), p.5-6
Hauptverfasser:	Haase, Robert, Royer, Loic A., Steinbach, Peter, Schmidt, Deborah, Dibrov, Alexandr, Schmidt, Uwe, Weigert, Martin, Maghelli, Nicola, Tomancak, Pavel, Jug, Florian, Myers, Eugene W.
Format:	Artikel
Sprache:	eng
Schlagworte:	631/114/1564 631/553/794 Algorithms Biochemical Research Methods Biochemistry & Molecular Biology Bioinformatics Biological Microscopy Biological Techniques Biomedical and Life Sciences Biomedical Engineering/Biotechnology Computer Graphics - instrumentation Computer Graphics - trends Correspondence Humans Image Interpretation, Computer-Assisted - instrumentation Image Interpretation, Computer-Assisted - methods Image processing Life Sciences Life Sciences & Biomedicine Molecular Imaging - methods Proteomics Science & Technology Signal Processing, Computer-Assisted - instrumentation
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