@article {49487, title = {A practical guide to adaptive light-sheet microscopy.}, journal = {Nature Protocols}, volume = {13}, year = {2018}, month = {2018 Oct 26}, pages = {2462{\textendash}2500}, abstract = {

We describe the implementation and use of an adaptive imaging framework for optimizing spatial resolution and signal strength in a light-sheet microscope. The framework, termed AutoPilot, comprises hardware and software modules for automatically measuring and compensating for mismatches between light-sheet and detection focal planes in living specimens. Our protocol enables researchers to introduce adaptive imaging capabilities in an existing light-sheet microscope or use our SiMView microscope blueprint to set up a new adaptive multiview light-sheet microscope. The protocol describes (i) the mechano-optical implementation of the adaptive imaging hardware, including technical drawings for all custom microscope components; (ii) the algorithms and software library for automated adaptive imaging, including the pseudocode and annotated source code for all software modules; and (iii) the execution of adaptive imaging experiments, as well as the configuration and practical use of the AutoPilot framework. Setup of the adaptive imaging hardware and software takes 1-2 weeks each. Previous experience with light-sheet microscopy and some familiarity with software engineering and building of optical instruments are recommended. Successful implementation of the protocol recovers near diffraction-limited performance in many parts of typical multicellular organisms studied with light-sheet microscopy, such as fruit fly and zebrafish embryos, for which resolution and signal strength are improved two- to fivefold.

}, issn = {1750-2799}, doi = {10.1038/s41596-018-0043-4}, author = {Royer, Lo{\"\i}c A and Lemon, William C and Chhetri, Raghav K and Keller, Philipp J} } @article {47987, title = {Adaptive light-sheet microscopy for long-term, high-resolution imaging in living organisms.}, journal = {Nature Biotechnology}, volume = {34}, year = {2016}, month = {2016 Oct 31}, pages = {1267-78}, abstract = {

Optimal image quality in light-sheet microscopy requires a perfect overlap between the illuminating light sheet and the focal plane of the detection objective. However, mismatches between the light-sheet and detection planes are common owing to the spatiotemporally varying optical properties of living specimens. Here we present the AutoPilot framework, an automated method for spatiotemporally adaptive imaging that integrates (i) a multi-view light-sheet microscope capable of digitally translating and rotating light-sheet and detection planes in three dimensions and (ii) a computational method that continuously optimizes spatial resolution across the specimen volume in real time. We demonstrate long-term adaptive imaging of entire developing zebrafish (Danio rerio) and Drosophila melanogaster embryos and perform adaptive whole-brain functional imaging in larval zebrafish. Our method improves spatial resolution and signal strength two to five-fold, recovers cellular and sub-cellular structures in many regions that are not resolved by non-adaptive imaging, adapts to spatiotemporal dynamics of genetically encoded fluorescent markers and robustly optimizes imaging performance during large-scale morphogenetic changes in living organisms.

}, issn = {1546-1696}, doi = {10.1038/nbt.3708}, author = {Royer, Lo{\"\i}c A and Lemon, William C and Chhetri, Raghav K and Wan, Yinan and Coleman, Michael and Myers, Eugene W and Keller, Philipp J} } @article {47877, title = {Imaging far and wide.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 Sep 23}, pages = {e21072}, abstract = {

A custom-built objective lens called the Mesolens allows relatively large biological specimens to be imaged with cellular resolution.

}, doi = {10.7554/eLife.18659}, author = {Chhetri, Raghav K and Keller, Philipp J} } @article {47116, title = {Whole-animal functional and developmental imaging with isotropic spatial resolution}, journal = {Nature Methods}, volume = {12}, year = {2015}, month = {2015 Oct 26}, pages = {1171-8}, abstract = {

Imaging fast cellular dynamics across large specimens requires high resolution in all dimensions, high imaging speeds, good physical coverage and low photo-damage. To meet these requirements, we developed isotropic multiview (IsoView) light-sheet microscopy, which rapidly images large specimens via simultaneous light-sheet illumination and fluorescence detection along four orthogonal directions. Combining these four views by means of high-throughput multiview deconvolution yields images with high resolution in all three dimensions. We demonstrate whole-animal functional imaging of Drosophila larvae at a spatial resolution of 1.1-2.5 μm and temporal resolution of 2 Hz for several hours. We also present spatially isotropic whole-brain functional imaging in Danio rerio larvae and spatially isotropic multicolor imaging of fast cellular dynamics across gastrulating Drosophila embryos. Compared with conventional light-sheet microscopy, IsoView microscopy improves spatial resolution at least sevenfold and decreases resolution anisotropy at least threefold. Compared with existing high-resolution light-sheet techniques, IsoView microscopy effectively doubles the penetration depth and provides subsecond temporal resolution for specimens 400-fold larger than could previously be imaged.

}, doi = {10.1038/nmeth.3632}, author = {Chhetri, Raghav K and Amat, Fernando and Wan, Yinan and H{\"o}ckendorf, Burkhard and Lemon, William C and Keller, Philipp J} }