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4 results for “fluorescence sensing”
Source files and reconstructions for "Simple 3D compressed sensing scheme for faster and less phototoxic fluorescence microscopy imaging"
<p>Source files and reconstructions for "Simple 3D compressed sensing scheme for faster and less phototoxic fluorescence microscopy imaging"</p> <p>The source files are to be used with the code on https://github.com/MaximeMaW/CompressedSensingMicroscopy3D (also archived in https://zenodo.org/record/439690)</p> <ol> <li>The files prefixed with "VIZ" are high resolution TIF visualizations.</li> <li>The files come from three experiments on two different setups: <ol> <li>A lattice light sheet microscope (LLSM): beads sample (filed termed "<strong>lattice-beads</strong>" and actin-labelled mESCs (files termed "<strong>lattice-phalloidin</strong>")</li> <li>An epifluorescence microscope: beads sample (files termed "<strong>epifluorescence</strong>")</li> </ol> </li> <li>The acquisitions were either performed using an identity measurement matrix (mimicking the plane-by-plane acquisition mode of a traditional z-stack): files termes "<strong>reference</strong>" or with a Fourier measurement matrix (described in the code mentioned above) with a compression ratio of 2 (files termed "<strong>compressed</strong>".</li> <li>The reconstructions were performed as described in the paper with the code mentioned above. Several reconstructions were computed from the same compressed images by simulating increasing compression ratios. To do so, reconstructions were performed by selecting a subset of the acquired planes (number indicated as "<strong>**frames</strong>")</li> <li>Reconstructions were sparsified using a 2D PSF model computed for our epifliuorescence setup and the LLSM (files termed "<strong>PSF_model</strong>"). These are provided as numpy arrays.</li> </ol> <p> </p>
Boreal forest tower-based remote sensing data (solar-induced fluorescence and reflectance-based vegetation indices)
<p>Data includes remote sensing products from PhotoSpec (a scanning spectrometer) from August 2019-December 2021 at the Southern Old Black Spruce site in Saskatchewan Canada and the National Ecological Observatory Network (NEON) Delta Junction. We provide half-hourly averaged vegetation indices (NIRv, NDVI, PRI, CCI) and Solar-Induced Fluorescence (SIF) and for stand-representative targets. Additionally, we provide half-hourly Photosynthetically Active Radiation (PAR), a fraction of direct vs. diffuse radiation (Df), Air Temperature (Tair) and Gross Primary Productivity (GPP). </p>
Data from: Colorimetric and fluorescent probes for real-time naked eye sensing of copper ion in solution and on paper substrate
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Dataset to submitted manuscript "Imaging Fluorescence Blinking of a Mitochondrial Localization Probe – a Strategy Combining Site-Specificity with Multi-Parametric Sensing of Cellular Microenvironments"
<p><strong>This folder contains all raw data underlying the results presented in a manuscript, submitted to <em>Small</em></strong><strong>, and entitled:</strong></p> <p> </p> <p><strong><em>Imaging Fluorescence Blinking of a Mitochondrial Localization Probe – a Strategy Combining Site-Specificity with Multi-Parametric Sensing of Cellular Microenvironments</em></strong></p> <p> </p> <p><strong>Authored by:</strong></p> <p>Zhixue Du<sup>a</sup><em>, </em>Joachim Piguet<sup>a,+</sup>, Gleb Baryshnikov<sup>b,+</sup>, Johan Tornmalm<sup>a</sup>, Baris Demirbay<sup>a</sup>, Hans Ågren<sup>b</sup>, Jerker Widengren<sup>a,*</sup></p> <p> </p> <p><sup>a</sup> Royal Institute of Technology (KTH), Experimental Biomolecular Physics, Dept. Applied Physics, Albanova Univ Center 106 91 Stockholm, Sweden</p> <p><sup>b</sup> Royal Institute of Technology (KTH), Dept Theroretical Chemistry and Biology, Albanova Univ Center 106 91 Stockholm, Sweden</p> <p><sup>+</sup> Contributed equally</p> <p>* Corresponding author: Email: <a href="mailto:jwideng@kth.se">jwideng@kth.se</a>, Phone: +46-8-7907813</p> <p> </p> <p><strong>The data files are grouped into the different techniques used to generate them, and refer to the figures/tables in the manuscript where the extracted results are presented. </strong></p> <p> </p> <p><strong>ABSTRACT</strong></p> <p>The local microenvironment of mitochondrial membranes directly influences cellular metabolic states but are difficult to follow locally. Here, we demonstrate a robust and straightforward strategy, transforming the widely used mitochondrial membrane localization fluorophore 10-Nonyl Acridine Orange (NAO) into a multi-functional probe of membrane microenvironments. By monitoring the blinking kinetics of NAO in small unilamellar vesicles, and by computational simulations, we found that NAO exhibits prominent reversible singlet-triplet state transitions and can act as a light-induced Lewis acid forming a red-emissive doublet radical. The resulting blinking kinetics are highly environment sensitive, specifically reflecting local membrane oxygen concentrations, redox conditions, membrane charge, fluidity and lipid compositions, and can also be imaged in live cells, in a spatially resolved manner. They also reflect hydroxyl ion dependent transitions to and from the fluorophore doublet radical, closely coupled to proton transfer events in the membranes, local pH, and two- and three-dimensional buffering properties on and above the membranes. Generally, by the demonstrated blinking imaging strategy existing fluorophore markers can be transformed into multi-parametric microenvironmental sensors. The strategy makes it possible to image local cellular conditions highly relevant to cancer, metabolic and infectious diseases, thereby providing a basis for cellular diagnostics and for fundamental membrane studies.</p>
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International Brain Laboratory public data
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OpenNeuro
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