2022
DOI: 10.1016/j.isci.2022.104797
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Light-sheet mesoscopy with the Mesolens provides fast sub-cellular resolution imaging throughout large tissue volumes

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Cited by 12 publications
(9 citation statements)
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“…Ideally in a LS microscope, there would be an infinitesimally thin sheet of infinite extent. This is the reason that some more complex LS microscopes employ Bessel beams 17 or Airy beams, 18 which are nondiffractive but carry extra fringes whose effects must be mitigated via other means. Using standard optics, a tightly focused beam axially ( Z , perpendicular to the imaging plane) means a tightly focused beam laterally (in X ).…”
Section: Resultsmentioning
confidence: 99%
“…Ideally in a LS microscope, there would be an infinitesimally thin sheet of infinite extent. This is the reason that some more complex LS microscopes employ Bessel beams 17 or Airy beams, 18 which are nondiffractive but carry extra fringes whose effects must be mitigated via other means. Using standard optics, a tightly focused beam axially ( Z , perpendicular to the imaging plane) means a tightly focused beam laterally (in X ).…”
Section: Resultsmentioning
confidence: 99%
“…For optical sectioning, various options exist for achieving 3D fluorescence imaging in the visible wavelength region. These include scanning confocal microscopy (4,14), light-sheet microscopy (15), light-field microscopy (16), and spatiotemporal focusing (17). Among these options, we selected the confocal imaging method for this study owing to the limitations of light-sheet method in uniformly illuminating areas larger than 1 cm (15,18), and the trade-off between spatial resolution and the ability to resolve three dimensions in a single shot for the light-field method (19).…”
Section: Resultsmentioning
confidence: 99%
“…To visualise and quantify data in three-dimensions, OME.TIFF files from the two channels were sequentially opened with Imaris and these data were subsequently converted to the proprietary Imaris file format (Imaris 9.8, Oxford Instruments). The 'Surfaces' tool was used to segment objects in each channel from the background to facilitate measurements [19]. Next, the 'Statistics' function was used to extract volumetric information from the image data.…”
Section: Image Processing and Analysismentioning
confidence: 99%