Imaging cell biology

Imaging cell biology

Imaging technologies drive discovery in cell biology. Innovations in microscopy hardware, imaging methods and computational analysis of large-scale, complex datasets can increase imaging resolution, definition and allow access to new biology. We asked experts at the leading edge of biological imagin...

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Veröffentlicht in:Nature cell biology 2022-08, Vol.24 (8), p.1180-1185
Hauptverfasser: Andrews, Brenda, Chang, Jae-Byum, Collinson, Lucy, Li, Dong, Lundberg, Emma, Mahamid, Julia, Manley, Suliana, Mhlanga, Musa, Nakano, Akihiko, Schöneberg, Johannes, Van Valen, David, Wu, Ting ‘C.-ting’, Zaritsky, Assaf
Format: Artikel
Sprache:eng
Schlagworte:
algorithm
Algorithms
Antibodies
artificial intelligence
Automation
benchmarking
Biology
Biomedical and Life Sciences
Cancer Research
Cell Biology
Cell cycle
cell structure
Computer applications
cytology
Datasets
deep learning
Developmental Biology
electron microscopy
electron tomography
fluorescence microscopy
Genomes
high throughput imaging
image analysis
Image resolution
image segmentation
imaging
Life Sciences
live cell imaging
Localization
Machine learning
medical expert
Membranes
Microscopy
Morphology
morphometry
optical resolution
pleiotropy
prediction
protein localization
Proteins
proteomics
Registration
Scanning electron microscopy
Stem Cells
Tomography
transmission electron microscopy
Viewpoint
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Beschreibung
Zusammenfassung:Imaging technologies drive discovery in cell biology. Innovations in microscopy hardware, imaging methods and computational analysis of large-scale, complex datasets can increase imaging resolution, definition and allow access to new biology. We asked experts at the leading edge of biological imaging what they are most excited about when it comes to microscopy in cell biology and what challenges need to be overcome to reach these goals.
ISSN:1465-7392
1476-4679
1476-4679
DOI:10.1038/s41556-022-00960-6