Three-dimensional fluorescence microscopy is a key technology for inspecting biological samples, ranging from single cells to entire organ- isms. We recently proposed a novel approach called spatially modulated Selective Volume Illumination Microscopy (smSVIM) to suppress illumination artifacts and to reduce the required number of measurements using an LED source. Here, we discuss a new strategy based on smSVIM for imaging large transparent specimens or voluminous chemically cleared tissues. The strategy permits steady mounting of the sample, achieving uniform resolution over a large field of view thanks to the synchronized motion of the illumination lens and the camera rolling shutter. Aided by a tailored deconvolution method for image reconstruction, we demonstrate significant improvement of the reso- lution at different magnification using samples of varying sizes and spatial features.
Enlarged Field of View in Spatially Modulated Selective Volume Illumination Microscopy / G. Calisesi, D. Ancora, C. Tacconi, A. Fantin, P. Perin, R. Pizzala, G. Valentini, A. Farina, A. Bassi. - In: MICROSCOPY AND MICROANALYSIS. - ISSN 1431-9276. - 28:5(2022), pp. 1622-1631. [10.1017/S1431927622012077]
Enlarged Field of View in Spatially Modulated Selective Volume Illumination Microscopy
C. Tacconi;A. Fantin;
2022
Abstract
Three-dimensional fluorescence microscopy is a key technology for inspecting biological samples, ranging from single cells to entire organ- isms. We recently proposed a novel approach called spatially modulated Selective Volume Illumination Microscopy (smSVIM) to suppress illumination artifacts and to reduce the required number of measurements using an LED source. Here, we discuss a new strategy based on smSVIM for imaging large transparent specimens or voluminous chemically cleared tissues. The strategy permits steady mounting of the sample, achieving uniform resolution over a large field of view thanks to the synchronized motion of the illumination lens and the camera rolling shutter. Aided by a tailored deconvolution method for image reconstruction, we demonstrate significant improvement of the reso- lution at different magnification using samples of varying sizes and spatial features.File | Dimensione | Formato | |
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