ArticleJournal of microscopy2010
Automated focusing in bright-field microscopy for tuberculosis detection.
Article in Journal of microscopy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
The trial behind it
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Who cites it
13 citing papers in PubMed, 87 citations in OpenAlex.
- Transmissive Single-Pixel Microscopic Imaging through Scattering Media.Sensors (Basel, Switzerland) · 2021Article
- FrenchFISH: Poisson Models for Quantifying DNA Copy Number From Fluorescence In Situ Hybridization of Tissue Sections.JCO clinical cancer informatics · 2021Article
- An adaptable analysis workflow for characterization of platelet spreading and morphology.Platelets · 2021Article
- Parallel implementations to accelerate the autofocus process in microscopy applications.Journal of medical imaging (Bellingham, Wash.) · 2020Article
- Automatic microscopic detection of mycobacteria in sputum: a proof-of-concept.Scientific reports · 2018Article
- Ziehl-Neelsen sputum smear microscopy image database: a resource to facilitate automated bacilli detection for tuberculosis diagnosis.Journal of medical imaging (Bellingham, Wash.) · 2017Article
- A Review of Automatic Methods Based on Image Processing Techniques for Tuberculosis Detection from Microscopic Sputum Smear Images.Journal of medical systems · 2016Review
- Compact multi-band fluorescent microscope with an electrically tunable lens for autofocusing.Biomedical optics express · 2015Article
- Optimal self-calibration of tomographic reconstruction parameters in whole-body small animal optoacoustic imaging.Photoacoustics · 2014Article
- Autofocusing for Microscopic Images using Harris Corner Response Measure.Proceedings of IEEE Southeastcon. IEEE Southeastcon · 2014Article
- Automatic section thickness determination using an absolute gradient focus function.Journal of microscopy · 2012Article
- Creating a virtual slide map from sputum smear images for region-of-interest localisation in automated microscopy.Computer methods and programs in biomedicine · 2012Article
- FocusALL: Focal Stacking of Microscopic Images Using Modified Harris Corner Response Measure.IEEE/ACM transactions on computational biology and bioinformaticsArticle
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Automated microscopy to detect Mycobacterium tuberculosis in sputum smear slides would enable laboratories in countries with a high tuberculosis burden to cope efficiently with large numbers of smears. Focusing is a core component of automated microscopy, and successful autofocusing depends on selection of an appropriate focus algorithm for a specific task. We examined autofocusing algorithms for bright-field microscopy of Ziehl-Neelsen stained sputum smears. Six focus measures, defined in the spatial domain, were examined with respect to accuracy, execution time, range, full width at half maximum of the peak and the presence of local maxima. Curve fitting around an estimate of the focal plane was found to produce good results and is therefore an acceptable strategy to reduce the number of images captured for focusing and the processing time. Vollath's F₄ measure performed best for full z-stacks, with a mean difference of 0.27 μm between manually and automatically determined focal positions, whereas it is jointly ranked best with the Brenner gradient for curve fitting.
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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.