3D Single-cell Visualization
3D Single-Cell Visualization is a computational method that enables the reconstruction and interactive exploration of spatial gene expression and cellular morphology at single-cell resolution within a three-dimensional tissue context.
59
Publications
7K
Citations
532
Authors
196
Institutions
Publications per year
2017–2026
34
Parents
59
CellProfiler 3.0: Next-generation image processing for biology
Claire McQuin, Allen Goodman, Vasiliy S. Chernyshev et al. · PLoS Biology · 2018 · 2.1K citations · Full text
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program
M Snyder, Shin Lin, Amanda L. Posgai et al. · Nature · 2019 · 671 citations · Full text
Single-cell dissection of the human brain vasculature
F. García, Na Sun, Hyeseung Lee et al. · Nature · 2022 · 336 citations · Full text
Medicine, Cell Biology, Neuroscience +14
1–5 of 59
532
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Institute of Applied Science and Intelligent Systems, Italy
2 publications · 81 citations
2
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2
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Institute of Applied Science and Intelligent Systems, Italy
2 publications · 81 citations
2
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2
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1–5 of 532
196

Howard Hughes Medical Institute
Chevy Chase, United States
6 h-index
25 publications
9.6K citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
7 publications
2.5K citations
Stanford University
Stanford, United States
5 h-index
30 publications
9K citations

Broad Institute
Cambridge, United States
5 h-index
44 publications
36.2K citations
Harvard University
Cambridge, United States
5 h-index
28 publications
16.3K citations
University of California San Diego
San Diego, United States
3 h-index
8 publications
4.1K citations

Allen Institute for Brain Science
Seattle, United States
3 h-index
7 publications
356 citations

Karolinska University Hospital
Stockholm, Sweden
2 h-index
6 publications
212 citations
1–8 of 196
Repository · 5 publications · 112 citations
5
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3 publications · 957 citations
3
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3 publications · 109 citations
3
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Book series · 2 publications · 55 citations
2
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2 publications · 1K citations
2
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