ArticleScientific reports2021
Automatic wavelet-based 3D nuclei segmentation and analysis for multicellular embryo quantification.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- 3DCellComposer - A versatile pipeline utilizing 2D cell segmentation methods for 3D cell segmentation.Methods (San Diego, Calif.) · 2025Article
- Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database.Journal of digital imaging · 2023Article
- PDE-constrained shape registration to characterize biological growth and morphogenesis from imaging data.Engineering with computers · 2022Article
- InSiNet: a deep convolutional approach to skin cancer detection and segmentation.Medical & biological engineering & computing · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Identification of individual cells in tissues, organs, and in various developing systems is a well-studied problem because it is an essential part of objectively analyzing quantitative images in numerous biological contexts. We developed a size-dependent wavelet-based segmentation method that provides robust segmentation without any preprocessing, filtering or fine-tuning steps, and is robust to the signal-to-noise ratio. The wavelet-based method achieves robust segmentation results with respect to True Positive rate, Precision, and segmentation accuracy compared with other commonly used methods. We applied the segmentation program to zebrafish embryonic development IN TOTO for nuclei segmentation, image registration, and nuclei shape analysis. These new approaches to segmentation provide a means to carry out quantitative patterning analysis with single-cell precision throughout three dimensional tissues and embryos and they have a high tolerance for non-uniform and noisy image data sets.
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Registered trials
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