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Bewersdorf, J.

Publications and source records attributed to Bewersdorf, J..

34 records · Page 2Linked to original sources

3D Adaptive Optical Nanoscopy for Thick Specimen Imaging at sub-50 nm Resolution

Understanding cellular organization demands the best possible spatial resolution in all three dimensions (3D). In fluorescence microscopy, this is achieved by 4Pi nanoscopy methods that combine the concepts of using two opposing objectives for optimal diffraction-limited 3D resolution with switching fluorescent molecules between bright and dark states to break the diffraction limit. However, optical aberrations have limited these nanoscopes to thin samples and prevented their application in thick specimens. Here, we have developed a nanoscope that, by utilizing an advanced adaptive optics strategy, achieves sub-50 nm isotropic resolution of structures such as neuronal synapses and ring canals previously inaccessible in tissue.

biophysics↗

DMA-tudor interaction modules control the specificity of in vivo condensates

Biomolecular condensation is a widespread mechanism of cellular compartmentalization. Because the survival of motor neuron protein (SMN) is required for the formation of three different membraneless organelles (MLOs), we hypothesized that at least one region of SMN employs a unifying mechanism of condensation. Unexpectedly, we show here that SMNs globular tudor domain was sufficient for dimerization-induced condensation in vivo, while its two intrinsically disordered regions (IDRs) were not. The condensate-forming property of the SMN tudor domain required binding to its ligand, dimethylarginine (DMA), and was shared by at least seven additional tudor domains in six different proteins. Remarkably, asymmetric versus symmetric DMA determined whether two distinct nuclear MLOs - gems and Cajal bodies - were separate or overlapping. These findings show that the combination of a tudor domain bound to its DMA ligand - DMA-tudor - represents a versatile yet specific interaction module that regulates MLO assembly and defines their composition.

biochemistry↗

Circumventing the optical diffraction limit with customized speckles

Speckle patterns have been widely used in imaging techniques such as ghost imaging, dynamic speckle illumination microscopy, structured illumination microscopy, and photoacoustic fluctuation imaging. Recent advances in the ability to control the statistical properties of speckles has enabled the customization of speckle patterns for specific imaging applications. In this work, we design and create special speckle patterns for parallelized nonlinear pattern-illumination microscopy based on fluorescence photoswitching. We present a proof-of-principle experimental demonstration where we obtain a spatial resolution three times higher than the diffraction limit of the illumination optics in our setup. Furthermore, we show that tailored speckles vastly outperform standard speckles. Our work establishes that customized speckles are a potent tool in parallelized super-resolution microscopy.

biophysics↗

Single-cell in vivo brain optogenetic stimulation by two-photon excitation fluorescence transfer

Optogenetic manipulation with single-cell resolution can be achieved by two-photon excitation; however, this frequently requires relatively high laser powers or holographic illumination. Here we developed a practical strategy to improve the efficiency of two-photon stimulation by positioning fluorescent proteins or small fluorescent molecules with high two-photon cross-sections in the vicinity of opsins. This generates a highly localized source of endogenous single-photon illumination that can be tailored to match the optimal opsin absorbance. Through neuronal and vascular stimulation in the live mouse brain, we demonstrate the utility of this technique to achieve more efficient opsin stimulation, without loss of cellular resolution. We also provide a theoretical framework for understanding the potential advantages and constrains of this methodology, with suggestions for future improvements. Altogether, this fluorescence transfer illumination method allows experiments difficult to implement in the live brain such as all-optical neural interrogation and control of regional cerebral blood flow.

neuroscience↗

Optimizing imaging conditions for photoconvertible protein mEos3.2 in live and fixed cells

Photoconvertible fluorescent proteins (PCFPs) are widely used in super-resolution microscopy and studies of cellular dynamics. However, our understanding of their photophysics is still limited, hampering their quantitative application. For example, we do not know the optimal sample preparation methods or imaging conditions to count protein molecules fused to PCFPs by single-molecule localization microscopy in live and fixed cells. We also do not know how the behavior of PCFPs in live cells compares with fixed cells. Therefore, we investigated how formaldehyde fixation influences the photophysical properties of the popular green-to-red PCFP mEos3.2 in fission yeast cells under a wide range of imaging conditions. We estimated photophysical parameters by fitting a 3-state model of photoconversion and photobleaching to the time course of fluorescence signal per yeast cell expressing mEos3.2. We discovered that formaldehyde fixation makes the fluorescence signal, photoconversion rate and photobleaching rate of mEos3.2 sensitive to the buffer conditions by permeabilizing the yeast cell membrane. Under some imaging conditions, the time-integrated mEos3.2 signal per yeast cell is similar in live cells and fixed cells imaged in buffer at pH 8.5 with 1 mM DTT, indicating that light chemical fixation does not destroy mEos3.2 molecules. We also discovered that some red-state mEos3.2 molecules entered an intermediate dark state that is converted back to the red fluorescent state by 561-nm illumination. Our findings provide a guide to compare quantitatively conditions for imaging and counting of mEos3.2-tagged molecules in yeast cells. Our imaging assay and mathematical model are easy to implement and provide a simple quantitative approach to measure the time-integrated signal and the photoconversion and photobleaching rates of fluorescent proteins in cells. STATEMENT OF SIGNIFICANCEMaking quantitative measurements with single-molecule localization microscopy (SMLM) has been impeded by limited understanding of the photophysics of the fluorophores, which is very sensitive to the sample preparation and imaging conditions. We characterized the photophysics of the green-to-red photoconvertible fluorescent protein mEos3.2, which is widely used in SMLM. We combined quantitative fluorescence microscopy and mathematical modeling to measure the fluorescence signal and rate constants for photoconversion and photobleaching of mEos3.2 in live and fixed cells under a wide range of illumination intensities. Our findings provide a guide to compare conditions for imaging and counting mEos3.2-tagged proteins in cells. The presented approach is generally applicable to characterize other fluorescent proteins or dyes in cells.

biophysics↗

Fluorogenic probe for fast 3D whole-cell DNA-PAINT

DNA-PAINT is an increasingly popular super-resolution microscopy method that can acquire high-fidelity images at nanometer resolution. It suffers, however, from high background and very slow imaging speed, both of which can be attributed to the presence of unbound fluorophores in solution. We present a fluorogenic DNA-PAINT probe that solves these problems and demonstrate 3D imaging without the need for optical sectioning and a 26-fold increase in imaging speed over regular DNA-PAINT.

biophysics↗

Accurate 4Pi single-molecule localization using an experimental PSF model

Interferometric single-molecule localization microscopy (iPALM, 4Pi-SMS) uses multiphase interferometry to localize single fluorophores and achieves nanometer isotropic resolution in 3D. The current data analysis workflow, however, fails to reach the theoretical resolution limit due to the suboptimal localization algorithm. Here, we develop a method to fit an experimentally derived point spread function (PSF) model to the interference 4Pi-PSF. As the interference phase is not fixed with respect to the shape of the PSF, we decoupled the phase term in the model from the 3D position of the PSF. The fitter can reliably infer the interference period even without introducing astigmatism, reducing the complexity of the microscope. Using a spline-interpolated experimental PSF model and by fitting all phase images globally, we show on simulated data that we can achieve the theoretical limit of 3D resolution, the Cramer-Rao lower bound (CRLB), also for the 4Pi microscope.

biophysics↗

Light microscopy of proteins in their ultrastructural context

Resolving the distribution of specific proteins at the nanoscale in the structural context of the cell is a major challenge in fluorescence microscopy. Here we present a new concept that decrowds the intracellular space through 13 to 21-fold physical expansion while simultaneously retaining the proteins. This combination makes labeling of the proteome efficient enough that local protein densities are revealed and the cellular nanoarchitecture can be visualized by standard light microscopy.

cell biology↗

3D super-resolution deep-tissue imaging in living mice

Stimulated emission depletion (STED) microscopy enables the three-dimensional (3D) visualization of dynamic nanoscale structures in living cells, offering unique insights into their organization. However, 3D-STED imaging deep inside biological tissue is obstructed by optical aberrations and light scattering. We present a STED system that overcomes these challenges. Through the combination of 2-photon excitation, adaptive optics, far-red emitting organic dyes, and a long-working distance water-immersion objective lens, our system achieves aberration-corrected 3D super-resolution imaging, which we demonstrate 164 {micro}m deep in fixed mouse brain tissue and 76 {micro}m deep in the brain of a living mouse.

biophysics↗

Nanoscale subcellular architecture revealed by multicolor 3D salvaged fluorescence imaging

Combining the molecular specificity of fluorescent probes with three-dimensional (3D) imaging at nanoscale resolution is critical for investigating the spatial organization and interactions of cellular organelles and protein complexes. We present a super-resolution light microscope that enables simultaneous multicolor imaging of whole mammalian cells at ~20 nm 3D resolution. We show its power for cell biology research with fluorescence images that resolved the highly convoluted Golgi apparatus and the close contacts between the endoplasmic reticulum and the plasma membrane, structures that have traditionally been the imaging realm of electron microscopy.\n\nOne Sentence SummaryComplex cellular structures previously only resolved by electron microscopy can now be imaged in multiple colors by 4Pi-SMS.

biophysics↗

3D Multicolor Nanoscopy at 10,000 Cells a Day

Diffraction-unlimited single-molecule techniques like STORM and (F)PALM enable three-dimensional (3D) fluorescence imaging at tens of nanometer resolution and are invaluable to investigate sub-cellular organization. The multitude of camera frames required to reconstruct a super-resolved image limits the typical throughput of these techniques to tens of cells per day, rendering these methods incompatible with large-scale cell biological or clinical application. STORM acquisition rates can be increased by over an order of magnitude, however the data volumes of about 40 TB a day and concomitant analysis burdens exceed the capacity of existing workflows. Here we present an integrated platform which transforms SMLM from a trick-pony technique into a work horse for cell biology. We leverage our developments in microscopy-specific data compression, distributed storage, and distributed analysis to automatically perform real-time localization analysis, which enable SMLM at throughputs of 10,000 cells a day. We implemented these advances in a fully-integrated environment that supports a highly-flexible architecture for distributed analysis, enabling quickly- and graphically-reconfigurable analyses to be automatically initiated from the microscope during acquisition, remotely executed, and even feedback and queue new acquisition tasks on the microscope. We demonstrate the utility of this framework by imaging hundreds of cells per well in multi-well sample formats. Our platform, the PYthon-Microscopy Environment (PYME), is easily configurable for hardware control on custom microscopes, and includes a plugin framework so users can readily extend all components of their imaging, visualization, and analysis pipeline. PYME is cross-platform, open source, and efficiently puts high-caliber visualization and analysis tools into the hands of both microscope developers and users.

biophysics↗

A stable, high refractive index, switching buffer for super-resolution imaging

dSTORM super-resolution imaging relies on switching buffers to enable dye molecules to enter and exit a metastable dark state. Current buffers have a very limited shelf life of approximately 1 day and poorly match sample refractive index, impacting negatively on measurement reproducibility and image fidelity. We present a buffer based on chemical, rather than enzymatic, oxygen scavenging which exhibits dramatically improved stability, switching speed, contrast, and index matching.

biophysics↗

EFCAB9 is a pH-Dependent Ca2+ Sensor that Regulates CatSper Channel Activity and Sperm Motility

SummaryVarying pH of luminal fluid along the female reproductive tract is a physiological cue that modulates sperm motility. CatSper is a sperm-specific, pH-sensitive calcium channel essential for hyperactivated motility and male fertility. Multi-subunit CatSper channel complexes organize linear Ca2+ signaling nanodomains along the sperm tail. Here, we identify EF-hand calciumbinding domain-containing protein 9 (EFCAB9) as a dual function, cytoplasmic machine modulating the channel activity and the domain organization of CatSper. Knockout mice studies demonstrate that EFCAB9, in complex with the CatSper subunit, CAT SPER{zeta}, is essential for pH-dependent and Ca2+ sensitive activation of the CatSper channel. In the absence of EFCAB9, sperm motility and fertility is compromised and the linear arrangement of the Ca2+ signaling domains is disrupted. EFCAB9 interacts directly with CATSPER{zeta} in a Ca2+ dependent manner and dissociates at elevated pH.These observations suggest that EFCAB9 is a long-sought, intracellular, pH-dependent Ca2+ sensor that triggers changes in sperm motility.\n\nHighlightsO_LIEfcab9 encodes an evolutionarily conserved, sperm-specific EF-hand domain protein\nC_LIO_LIEfcab9-deficient mice have sperm motility defects and reduced male fertility\nC_LIO_LIEFCAB9 is a pH-tuned Ca2+ sensor for flagellar CatSper Ca2+ channel\nC_LIO_LIEFCAB9 is a dual function machine in gatekeeping and domain organization of CatSper\nC_LI

cell biology↗

Nano-scale size holes in ER sheets provide an alternative to tubules for highly-curved membranes

The endoplasmic reticulum (ER) is composed of interconnected membrane sheets and tubules. Super-resolution microscopy recently revealed densely packed, rapidly moving ER tubules, highlighting the importance of revisiting classical views of ER structure with high spatial resolution in living cells. Using live-cell Stimulated Emission Depletion (STED) microscopy, we show highly dynamic, subdiffraction-sized holes in ER sheets. Holes coexist with uniform sheet regions and are distinct from tubular ER structures. The curvature-stabilizing reticulon protein Rtn4 localizes to these holes and the ER luminal tether Climp63 controls their diameter and mobility. Analytical modeling demonstrates that holes in ER sheets can serve as reservoirs for curvature-stabilizing proteins to support ER tubule extension and retraction, thus providing an explanation for how the ER locally alters its morphology on fast time-scales.\n\nOne Sentence SummaryDynamic nano-scale sized holes are prominent features of ER sheets that serve as reservoirs for curvature-stabilizing proteins to support ER tubule extension and retraction.

cell biology↗

Simultaneously measuring image features and resolution in live-cell STED images

Reliable interpretation and quantification of cellular features in fluorescence microscopy requires an accurate estimate of microscope resolution. This is typically obtained by measuring the image of a non-biological proxy for a point-like object, such as a fluorescent bead. While appropriate for confocal microscopy, bead-based measurements are problematic for Stimulated Emission Depletion (STED) and similar techniques where the resolution depends critically on the choice of fluorophore and acquisition parameters. We demonstrate that for a known geometry, e.g. tubules, the resolution can be accurately measured by fitting a model that accounts for both the Point Spread Function (PSF) and the fluorophore distribution. To address the problem of coupling between tubule diameter and PSF width, we developed a technique, Nested-loop Ensemble PSF (NEP) fitting. NEP fitting enables extraction of the size of cellular features and the PSF in fixed-cell and live-cell images without relying on beads or pre-calibration. We validate our technique using fixed microtubules and apply it to measure the diameter of endoplasmic reticulum tubules in live COS-7 cells. NEP fitting has been implemented as a plugin for the PYthon Microscopy Environment (PYME), a freely available and open source software.

cell biology↗

Analysis Of Interphase Node Proteins In Fission Yeast By Quantitative And Super Resolution Fluorescence Microscopy

We used quantitative confocal microscopy and FPALM super resolution microscopy of live fission yeast to investigate the structures and assembly of two types of interphase nodes, multiprotein complexes associated with the plasma membrane that merge together and mature into the precursors of the cytokinetic contractile ring. During the long G2 phase of the cell cycle seven different interphase node proteins maintain constant concentrations as they accumulate in proportion to cell volume. During mitosis the total numbers of type 1 node proteins (cell cycle kinases Cdr1p, Cdr2p, Wee1p, and anillin Mid1p) are constant even when the nodes disassemble. Quantitative measurements provide strong evidence that both types of nodes have defined sizes and numbers of constituent proteins, as observed for cytokinesis nodes. Type 1 nodes assemble in two phases, a burst at the end of mitosis, followed by steady increase during interphase to double the initial number. Type 2 nodes containing Blt1p, Rho-GEF Gef2p, and kinesin Klp8p remain intact throughout the cell cycle and are constituents of the contractile ring. They are released from the contractile ring as it disassembles and then associate with type 1 nodes around the equator of the cell during interphase.\n\nHighlight summaryFPALM super resolution microscopy and quantitative confocal microscopy reveal that interphase nodes, the precursors to the fission yeast cytokinetic contractile ring, are discrete unitary structures with defined sizes and ratios of component proteins. Type 1 nodes disassemble during mitosis, but type 2 nodes remain intact throughout the cell cycle.

cell biology↗