ArticleBMC bioinformatics2010
Evaluation of methods for detection of fluorescence labeled subcellular objects in microscope images.
Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
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- Microscopy-based single-cell proteomic profiling reveals heterogeneity in DNA damage response dynamics.Cell reports methods · 2022Article
- Tracking calcium dynamics from individual neurons in behaving animals.PLoS computational biology · 2021Article
- A bird's-eye view of deep learning in bioimage analysis.Computational and structural biotechnology journal · 2020Review
- Evaluating the pharmacological response in fluorescence microscopy images: The Δm algorithm.PloS one · 2019Article
- High Throughput Analysis of Golgi Structure by Imaging Flow Cytometry.Scientific reports · 2017Article
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- In vivo kinetics of segregation and polar retention of MS2-GFP-RNA complexes in Escherichia coli.Biophysical journal · 2014Article
- Identification and characterization of a drug-sensitive strain enables puromycin-based translational assays in Saccharomyces cerevisiae.Yeast (Chichester, England) · 2014Article
- Objective comparison of particle tracking methods.Nature methods · 2014Article
- Segmentation and quantification of subcellular structures in fluorescence microscopy images using Squassh.Nature protocols · 2014Article
- Unidirectional P-body transport during the yeast cell cycle.PloS one · 2014Article
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- Differential protein partitioning within the herpesvirus tegument and envelope underlies a complex and variable virion architecture.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- ZebIAT, an image analysis tool for registering zebrafish embryos and quantifying cancer metastasis.BMC bioinformatics · 2013Article
- A call for bioimaging software usability.Nature methods · 2012Article
- Automated image analysis identifies signaling pathways regulating distinct signatures of cardiac myocyte hypertrophy.Journal of molecular and cellular cardiology · 2012Article
- ATF3 protects against atherosclerosis by suppressing 25-hydroxycholesterol-induced lipid body formation.The Journal of experimental medicine · 2012Article
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9 authors.
Funding
Abstract
backgroundSeveral algorithms have been proposed for detecting fluorescently labeled subcellular objects in microscope images. Many of these algorithms have been designed for specific tasks and validated with limited image data. But despite the potential of using extensive comparisons between algorithms to provide useful information to guide method selection and thus more accurate results, relatively few studies have been performed.
resultsTo better understand algorithm performance under different conditions, we have carried out a comparative study including eleven spot detection or segmentation algorithms from various application fields. We used microscope images from well plate experiments with a human osteosarcoma cell line and frames from image stacks of yeast cells in different focal planes. These experimentally derived images permit a comparison of method performance in realistic situations where the number of objects varies within image set. We also used simulated microscope images in order to compare the methods and validate them against a ground truth reference result. Our study finds major differences in the performance of different algorithms, in terms of both object counts and segmentation accuracies.
conclusionsThese results suggest that the selection of detection algorithms for image based screens should be done carefully and take into account different conditions, such as the possibility of acquiring empty images or images with very few spots. Our inclusion of methods that have not been used before in this context broadens the set of available detection methods and compares them against the current state-of-the-art methods for subcellular particle detection.
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