Efficient processing and analysis of large-scale light-sheet microscopy data
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2015/10/01
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Journal
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Indian UGC (journal)
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Refrences65
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Citations76
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Fernando Amat
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Burkhard Höckendorf
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Yinan Wan
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William C Lemon
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Katie McDole
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Philipp J Keller
Cite
Amat, Fernando, et al. “Efficient Processing and Analysis of Large-Scale Light-Sheet Microscopy Data”. Nature Protocols, vol. 10, no. 11, 2015, pp. 1679-96, https://doi.org/10.1038/nprot.2015.111.
Amat, F., Höckendorf, B., Wan, Y., Lemon, W. C., McDole, K., & Keller, P. J. (2015). Efficient processing and analysis of large-scale light-sheet microscopy data. Nature Protocols, 10(11), 1679-1696. https://doi.org/10.1038/nprot.2015.111
Amat, Fernando, Burkhard Höckendorf, Yinan Wan, William C Lemon, Katie McDole, and Philipp J Keller. “Efficient Processing and Analysis of Large-Scale Light-Sheet Microscopy Data”. Nature Protocols 10, no. 11 (2015): 1679-96. https://doi.org/10.1038/nprot.2015.111.
Amat F, Höckendorf B, Wan Y, Lemon WC, McDole K, Keller PJ. Efficient processing and analysis of large-scale light-sheet microscopy data. Nature Protocols. 2015;10(11):1679-96.
Journal Categories
Science
Biology (General)
Science
Chemistry
Organic chemistry
Biochemistry
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Visualizing Whole-Brain Activity and Development at the Single-Cell Level Using Light-Sheet Microscopy | Neuron |
| 148 | 2015 |
Live imaging of nervous system development and function using light‐sheet microscopy | Molecular Reproduction and Development |
| 9 | 2015 |
| BigDataViewer: visualization and processing for large image data sets | Nature Methods |
| 162 | 2015 |
Whole-central nervous system functional imaging in larval Drosophila | Nature Communications |
| 130 | 2015 |
Lattice light-sheet microscopy: Imaging molecules to embryos at high spatiotemporal resolution | Science |
| 1,167 | 2014 |
Refrences Analysis
The category
Science: Chemistry: Organic chemistry: Biochemistry 51
is the most frequently represented among the references in this article. It primarily includes studies from Nature Methods and Cell. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Tissue clearing and its applications in human tissues: A review | VIEW |
| 2024 | |
| PC-bzip2: a phase-space continuity-enhanced lossless compression algorithm for light-field microscopy data | Advanced Photonics Nexus | 2024 | ||
Imaging actin organisation and dynamics in 3D | Journal of Cell Science |
| 2024 | |
Lossy Image Compression in a Preclinical Multimodal Imaging Study | Journal of Digital Imaging |
| 2023 | |
| Morphogenesis: Unstable rods and how genetics tames them | Current Biology |
| 2023 |
Citations Analysis
The category
Science: Biology (General) 42
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled An automated workflow for parallel processing of large multiview SPIM recordings and was published in 2015. The most recent citation comes from a 2024 study titled PC-bzip2: a phase-space continuity-enhanced lossless compression algorithm for light-field microscopy data. This article reached its peak citation in 2019, with 12 citations. It has been cited in 57 different journals, 24% of which are open access. Among related journals, the Nature Methods cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.