Title |
Light sheet-based fluorescence microscopy (LSFM) for the quantitative imaging of cells and tissues
|
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Published in |
Cell and Tissue Research, March 2015
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DOI | 10.1007/s00441-015-2144-5 |
Pubmed ID | |
Authors |
Francesco Pampaloni, Bo-Jui Chang, Ernst H. K. Stelzer |
Abstract |
In light sheet-based fluorescence microscopy (LSFM), only the focal plane is illuminated by a laser light sheet. Hence, only the fluorophores within a thin volume of the specimen are excited. This reduces photo-bleaching and photo-toxic effects by several orders of magnitude compared with any other form of microscopy. Therefore, LSFM (aka single/selective-plane illumination microscopy [SPIM] or digitally scanned light sheet microscopy [DSLM]) is the technique of choice for the three-dimensional imaging of live or fixed and of small or large three-dimensional specimens. The parallel recording of millions of pixels with modern cameras provides an extremely fast acquisition speed. Recent developments address the penetration depth, the resolution and the recording speed of LSFM. The impact of LSFM on research areas such as three-dimensional cell cultures, neurosciences, plant biology and developmental biology is increasing at a rapid pace. The development of high-throughput LSFM is the next leap forward, allowing the application of LSFM in toxicology and drug discovery screening. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Germany | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 3 | 1% |
Germany | 1 | <1% |
France | 1 | <1% |
Netherlands | 1 | <1% |
Austria | 1 | <1% |
United States | 1 | <1% |
Unknown | 204 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 61 | 29% |
Researcher | 42 | 20% |
Student > Master | 30 | 14% |
Student > Bachelor | 14 | 7% |
Student > Doctoral Student | 10 | 5% |
Other | 25 | 12% |
Unknown | 30 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 55 | 26% |
Engineering | 33 | 16% |
Biochemistry, Genetics and Molecular Biology | 30 | 14% |
Physics and Astronomy | 28 | 13% |
Chemistry | 7 | 3% |
Other | 22 | 10% |
Unknown | 37 | 17% |