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Light sheet theta microscopy for rapid high-resolution imaging of large biological samples

Overview of attention for article published in BMC Biology, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

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47 tweeters

Citations

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44 Dimensions

Readers on

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92 Mendeley
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Title
Light sheet theta microscopy for rapid high-resolution imaging of large biological samples
Published in
BMC Biology, May 2018
DOI 10.1186/s12915-018-0521-8
Pubmed ID
Authors

Bianca Migliori, Malika S. Datta, Christophe Dupre, Mehmet C. Apak, Shoh Asano, Ruixuan Gao, Edward S. Boyden, Ola Hermanson, Rafael Yuste, Raju Tomer

Abstract

Advances in tissue clearing and molecular labeling methods are enabling unprecedented optical access to large intact biological systems. These developments fuel the need for high-speed microscopy approaches to image large samples quantitatively and at high resolution. While light sheet microscopy (LSM), with its high planar imaging speed and low photo-bleaching, can be effective, scaling up to larger imaging volumes has been hindered by the use of orthogonal light sheet illumination. To address this fundamental limitation, we have developed light sheet theta microscopy (LSTM), which uniformly illuminates samples from the same side as the detection objective, thereby eliminating limits on lateral dimensions without sacrificing the imaging resolution, depth, and speed. We present a detailed characterization of LSTM, and demonstrate its complementary advantages over LSM for rapid high-resolution quantitative imaging of large intact samples with high uniform quality. The reported LSTM approach is a significant step for the rapid high-resolution quantitative mapping of the structure and function of very large biological systems, such as a clarified thick coronal slab of human brain and uniformly expanded tissues, and also for rapid volumetric calcium imaging of highly motile animals, such as Hydra, undergoing non-isomorphic body shape changes.

Twitter Demographics

The data shown below were collected from the profiles of 47 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 26%
Researcher 18 20%
Professor > Associate Professor 10 11%
Student > Master 9 10%
Student > Bachelor 9 10%
Other 13 14%
Unknown 9 10%
Readers by discipline Count As %
Engineering 19 21%
Agricultural and Biological Sciences 15 16%
Physics and Astronomy 13 14%
Neuroscience 10 11%
Biochemistry, Genetics and Molecular Biology 8 9%
Other 15 16%
Unknown 12 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 May 2020.
All research outputs
#988,151
of 17,673,294 outputs
Outputs from BMC Biology
#286
of 1,530 outputs
Outputs of similar age
#27,526
of 288,678 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 17,673,294 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,530 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.9. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 288,678 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them