The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Efficient Bayesian-based multiview deconvolution
Open accessAbstract
Light-sheet fluorescence microscopy is able to image large specimens with high resolution by capturing the samples from multiple angles. Multiview deconvolution can substantially improve the resolution and contrast of the images, but its application has been limited owing to the large size of the data sets. Here we present a Bayesian-based derivation of multiview deconvolution that drastically improves the convergence time, and we provide a fast implementation using graphics hardware.
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Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890
Self-citationMaximum Likelihood Reconstruction for Emission Tomography
Shepp, L. A., & Vardi, Y. (1982) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.1982.4307558 · Cited by 4,429
Bayesian-Based Iterative Method of Image Restoration*
Richardson, W. H. (1972) · Journal of the Optical Society of America · doi:10.1364/josa.62.000055 · Cited by 4,160
An iterative technique for the rectification of observed distributions
Lucy, L. B. (1974) · The Astronomical Journal · doi:10.1086/111605 · Cited by 3,866 · cited 1×
“Although Q(ξ|x) cannot be used to directly compute ψ(ξ), Bayes’ Theorem and subsequently equation 1 can be used to reformulate it as Q(ξ|x) = ψ(ξ)P (x|ξ) φ(x) = ψ(ξ)P (x|ξ) ∫ ξ ψ(ξ)P (x|ξ)dξ (9) Replacing Q(ξ|x) in equation 8 yields”
Cited by
LABKIT: Labeling and Segmentation Toolkit for Big Image Data
Arzt, M., Deschamps, J., Schmied, C., Pietzsch, T., Schmidt, D., Tomancak, P., Haase, R., & Jug, F. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.777728 · Cited by 405
Self-citationThe ImageJ ecosystem: Open‐source software for image visualization, processing, and analysis
Schroeder, A. B., Dobson, E. T. A., Rueden, C. T., Tomancak, P., Jug, F., & Eliceiri, K. W. (2021) · Protein Science · doi:10.1002/pro.3993 · Cited by 391
Self-citationA genome-wide resource for the analysis of protein localisation in Drosophila
Sarov, M., Barz, C., Jambor, H., Hein, M. Y., Schmied, C., Suchold, D., Stender, B., Janosch, S., KJ, V. V., Krishnan, R., et al. (2016) · eLife · doi:10.7554/elife.12068 · Cited by 359
Self-citationLight-sheet microscopy: a tutorial
Olarte, O. E., Andilla, J., Gualda, E. J., & Loza-Alvarez, P. (2018) · Advances in Optics and Photonics · doi:10.1364/aop.10.000111 · Cited by 298
Metadata
- Authors
- Preibisch, S., Amat, F., Stamataki, E., Sarov, M., Singer, R. H., Myers, E., & Tomancak, P.
- Venue
- Nature Methods
- Published
- 2014-04-20
- Volume
- 11
- Issue
- 6
- Pages
- 645-648
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2000558985
- Cited by
- 250
- References
- 4
- FWCI
- 11.36
- Type
- journal article
- Language
- en
- Open access
- green
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- Preibisch, S., Amat, F., Stamataki, E., Sarov, M., Singer, R. H., Myers, E., & Tomancak, P. (2014). Efficient Bayesian-based multiview deconvolution. Nature Methods. https://doi.org/10.1038/nmeth.2929
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