ArticlePLoS computational biology2012
Visualization and analysis of 3D microscopic images.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
33 citing papers in PubMed.
- Vaa3D-x for cross-platform teravoxel-scale immersive exploration of multidimensional image data.Bioinformatics (Oxford, England) · 2023Article
- Tissue clearing applications in memory engram research.Frontiers in behavioral neuroscience · 2023Review
- Immersive and interactive visualization of 3D spatio-temporal data using a space time hypercube: Application to cell division and morphogenesis analysis.Frontiers in bioinformatics · 2023Article
- In vivo imaging of mammary epithelial cell dynamics in response to lineage-biased Wnt/β-catenin activation.Cell reports · 2022Article
- Regulation of FGF-2, FGF-18 and Transcription Factor Activity by Perlecan in the Maturational Development of Transitional Rudiment and Growth Plate Cartilages and in the Maintenance of Permanent Cartilage Homeostasis.International journal of molecular sciences · 2022Review
- Visualizing and Quantifying Data from Time-Lapse Imaging Experiments.Methods in molecular biology (Clifton, N.J.) · 2022Article
- IMAGE-IN: Interactive web-based multidimensional 3D visualizer for multi-modal microscopy images.PloS one · 2022Article
- What Are the Potential Roles of Nuclear Perlecan and Other Heparan Sulphate Proteoglycans in the Normal and Malignant Phenotype.International journal of molecular sciences · 2021Review
- Factors to consider when interrogating 3D culture models with plate readers or automated microscopes.In vitro cellular & developmental biology. Animal · 2021Review
- Focus on biosensors: Looking through the lens of quantitative biology.Quantitative plant biology · 2021Review
- Computational Methods for Single-Cell Imaging and Omics Data Integration.Frontiers in molecular biosciences · 2021Review
- Patterning and Morphogenesis From Cells to Organisms: Progress, Common Principles and New Challenges.Frontiers in cell and developmental biology · 2020Article
- A bird's-eye view of deep learning in bioimage analysis.Computational and structural biotechnology journal · 2020Review
- webTDat: A Web-Based, Real-Time, 3D Visualization Framework for Mesoscopic Whole-Brain Images.Frontiers in neuroinformatics · 2020Article
- Enhanced translation expands the endo-lysosome size and promotes antigen presentation during phagocyte activation.PLoS biology · 2019Article
- CellProfiler 3.0: Next-generation image processing for biology.PLoS biology · 2018Article
- Two-photon microscopy imaging of oxidative stress in human living erythrocytes.Biomedical optics express · 2017Article
- Open data and digital morphology.Proceedings. Biological sciences · 2017Review
- Acquisition, Visualization and Potential Applications of 3D Data in Anatomic Pathology.Discoveries (Craiova, Romania) · 2016Review
- Rivulet: 3D Neuron Morphology Tracing with Iterative Back-Tracking.Neuroinformatics · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.