Abstract | ||
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In a wide range of biological studies, it is highly desirable to visualize and analyze three-dimensional (3D) microscopic images. In this primer, we first introduce several major methods for visualizing typical 3D images and related multi-scale, multi-time-point, multi-color data sets. Then, we discuss three key categories of image analysis tasks, namely segmentation, registration, and annotation. We demonstrate how to pipeline these visualization and analysis modules using examples of profiling the single-cell gene-expression of C. elegans and constructing a map of stereotyped neurite tracts in a fruit fly brain. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1371/journal.pcbi.1002519 | PLOS COMPUTATIONAL BIOLOGY |
Keywords | Field | DocType |
vision,fluorescence microscopy,fluorescence imaging,image analysis,three dimensional,neurites,data visualization,3d imaging,gene expression | Computer vision,Data visualization,Data set,Annotation,Biology,Segmentation,Profiling (computer programming),Visualization,Artificial intelligence,Bioinformatics | Journal |
Volume | Issue | ISSN |
8 | 6 | 1553-734X |
Citations | PageRank | References |
13 | 0.67 | 20 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fuhui Long | 1 | 304 | 19.27 |
Jianlong Zhou | 2 | 187 | 23.90 |
Hanchuan Peng | 3 | 3930 | 182.27 |