PALM and STORM: Into large fields and high-throughput microscopy with sCMOS detectors
- PMID: 26079924
- DOI: 10.1016/j.ymeth.2015.06.004
PALM and STORM: Into large fields and high-throughput microscopy with sCMOS detectors
Abstract
Single Molecule Localization Microscopy (SMLM) techniques such as Photo-Activation Localization Microscopy (PALM) and Stochastic Optical Reconstruction Microscopy (STORM) enable fluorescence microscopy super-resolution: the overcoming of the resolution barrier imposed by the diffraction of light. These techniques are based on acquiring hundreds or thousands of images of single molecules, locating them and reconstructing a higher-resolution image from the high-precision localizations. These methods generally imply a considerable trade-off between imaging speed and resolution, limiting their applicability to high-throughput workflows. Recent advancements in scientific Complementary Metal-Oxide Semiconductor (sCMOS) camera sensors and localization algorithms reduce the temporal requirements for SMLM, pushing it toward high-throughput microscopy. Here we outline the decisions researchers face when considering how to adapt hardware on a new system for sCMOS sensors with high-throughput in mind.
Keywords: Hardware; Homogenization; Single-molecule localization; sCMOS.
Copyright © 2015 Elsevier Inc. All rights reserved.
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