splitSMLM, a spectral demixing method for high-precision multi-color localization microscopy applied to nuclear pore complexes (original) (raw)
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A spectral demixing method for high-precision multi-color localization microscopy
bioRxiv (Cold Spring Harbor Laboratory), 2021
Single molecule localization microscopy (SMLM) with a dichroic image splitter can provide invaluable multi-color information regarding colocalization of individual molecules, but it often suffers from technical limitations. So far, demixing algorithms give suboptimal results in terms of localization precision and correction of chromatic aberrations. Here we present an image splitter based multi-color SMLM method (splitSMLM) that offers much improved localization precision & drift correction, compensation of chromatic aberrations, and optimized performance of fluorophores in a specific buffer to equalize their reactivation rates for simultaneous imaging. A novel spectral demixing algorithm, SplitViSu, fully preserves localization precision with essentially no data loss and corrects chromatic aberrations at the nanometer scale. Multi-color performance is further improved by using optimized fluorophore and filter combinations. Applied to three-color imaging of the nuclear pore complex (NPC), this method provides a refined positioning of the individual NPC proteins and reveals that Pom121 clusters act as NPC deposition loci, hence illustrating strength and general applicability of the method. .
Spectral demixing (SD) offers multicolor single molecule localization microscopy (SMLM) with low crosstalk and without the need to correct for registration errors. Here, we present SDmixer , a versatile, open-source software tool that enables any laboratory to perform rapid SD-based multicolor SMLM. A graphic user interface allows non-experts to process 2D or 3D data sets from any SML software and to reconstruct the super-resolved multicolor images with flexible output options.
Single-Molecule Localization Microscopy using mCherry
2014
We demonstrate the potential of the commonly used red fluorescent protein mCherry for single-molecule super-resolution imaging. mCherry can be driven into a light-induced dark state in the presence of a thiol from which it can recover spontaneously or by irradiation with near UV light. We show imaging of subcellular protein structures such as microtubules and the nuclear pore complex with a resolution below 40 nm. We were able to image the C-terminus of the nuclear pore protein POM121, which is on the inside of the pore and not readily accessible for external labeling. The photon yield for mCherry is comparable to that of the latest optical highlighter fluorescent proteins. Our findings show that the widely used mCherry red fluorescent protein and the vast number of existing mCherry fusion proteins are readily amenable to super-resolution imaging. This obviates the need for generating novel protein fusions that may compromise function or the need for external fluorescent labeling.
Dual color localization microscopy of cellular nanostructures
Biotechnology Journal, 2009
The Dual Color Localization Microscopy (2CLM) presented here is based on the principles of Spectral Precision Distance Microscopy (SPDM) with conventional fluorochromes under special physical conditions. This technique allows us to measure the spatial distribution of single fluorescently labeled molecules in entire cells with an effective optical resolution comparable to macromolecular dimensions. Here, we describe the application of the 2CLM approach to the simultaneous nanoimaging of cellular structures using two fluorochrome types distinguished by different fluorescence emission wavelengths. The capabilities of 2CLM for studying the spatial organization of the genome in the mammalian cell nucleus are demonstrated for the relative distributions of two chromosomal proteins labeled with autofluorescent GFP and mRFP1 domains. The 2CLM images revealed quantitative information on their spatial relationships down to length-scales of 30 nm.
Multicolor single molecule localization-based super-resolution microscopy (SMLM) approaches are challenged by channel crosstalk and errors in multi-channel registration. We recently introduced a spectral demixing-based variant of direct stochastic optical reconstruction microscopy (SD-dSTORM) to perform multicolor SMLM with minimal color crosstalk. Here, we demonstrate that the spectral demixing procedure is inherently free of errors in multicolor registration and therefore does not require multicolor channel alignment. Furthermore, spectral demixing significantly reduces single molecule noise and is applicable to astigmatism-based 3D multicolor imaging achieving 25 nm lateral and 66 nm axial resolution on cellular nanostructures.
User-friendly Two-channelsuper-resolution localization microscopy
We report a robust two-color method for super-resolution localization microscopy. Two-dye combination of Alexa647 and Alexa750 in an imaging buffer containing COT and using TCEP as switching regent provides matched and balanced switching characteristics for both dyes, allowing simultaneous capture of both on a single camera. Active sample locking stabilizes sample with 1nm accuracy during imaging. With over 4,000 photons emitted from both dyes, two-color superresolution images with high-quality were obtained in a wide range of samples including cell cultures, tissue sections and yeast cells.
Fast Analysis of 2D and 3D Single-Molecule Localization Microscopy Data with Huygens Localizer
Microscopy Today, 2020
Single-molecule localization microscopy (SMLM) is a family of super-resolution microscopy techniques based on localizing clusters of detected photons that are emitted by single molecules. The localization procedure is based on careful statistical analysis of long image sequences to derive the nanometer positions of the molecules. By introducing additional optics, such as cylindrical lenses in the optical system, SMLM techniques have been extended to 3D super-resolution imaging. This adds a calibration step, thereby further complicating the data analysis. Here we present Huygens Localizer, a well-supported user-friendly package that carries out these tasks quickly by offloading carefully designed 2D and 3D analysis and visualization procedures to massively parallel graphical processors (GPUs).
A Platform To Enhance Quantitative Single Molecule Localization Microscopy
Journal of the American Chemical Society, 2018
Quantitative single molecule localization microscopy (qSMLM) is a powerful approach to study in situ protein organization. However, uncertainty regarding the photophysical properties of fluorescent reporters can bias the interpretation of detected localizations and subsequent quantification. Furthermore, strategies to efficiently detect endogenous proteins are often constrained by label heterogeneity and reporter size. Here, a new surface assay for molecular isolation (SAMI) was developed for qSMLM and used to characterize photophysical properties of fluorescent proteins and dyes. SAMI-qSMLM afforded robust quantification. To efficiently detect endogenous proteins, we used fluorescent ligands that bind to a specific site on engineered antibody fragments. Both the density and nano-organization of membrane-bound epidermal growth factor receptors (EGFR, HER2, and HER3) were determined by a combination of SAMI, antibody engineering, and pair-correlation analysis. In breast cancer cell l...
Coordinate-based colocalization analysis of single-molecule localization microscopy data
Histochemistry and Cell Biology, 2012
Colocalization of differently labeled biomolecules is a valuable tool in fluorescence microscopy and can provide information on biomolecular interactions. With the advent of super-resolution microscopy, colocalization analysis is getting closer to molecular resolution, bridging the gap to other technologies such as fluorescence resonance energy transfer. Among these novel microscopic techniques, single-molecule localization-based super-resolution methods offer the advantage of providing singlemolecule coordinates that, rather than intensity information, can be used for colocalization analysis. This requires adapting the existing mathematical algorithms for localization microscopy data. Here, we introduce an algorithm for coordinate-based colocalization analysis which is suited for single-molecule super-resolution data. In addition, we present an experimental configuration for simultaneous dual-color imaging together with a robust approach to correct for optical aberrations with an accuracy of a few nanometers. We demonstrate the potential of our approach for cellular structures and for two proteins binding actin filaments.