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Dataset results
7 results for “DNA-PAINT”
Raw data for DNA-PAINT MINFLUX nanoscopy
<p>Raw data sets for "DNA-PAINT MINFLUX nanoscopy"</p> <p>by Lynn M. Ostersehlt (1), Daniel C. Jans (1,2), Anna Wittek (1,2), Jan Keller-Findeisen (1), Steffen J. Sahl (1),<br> Stefan W. Hell (1,3,4), and Stefan Jakobs (1,2,4,5)</p> <p>1 Max Planck Institute for Multidisciplinary Sciences, Department of NanoBiophotonics, Göttingen, Germany<br> 2 University Medical Center Göttingen, Department of Neurology, Göttingen, Germany<br> 3 Max Planck Institute for Medical Research, Department of Optical Nanoscopy, Heidelberg, Germany<br> 4 Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC),<br> University of Göttingen, Germany<br> 5 Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Translational Neuroinflammation and<br> Automated Microscopy, Göttingen, Germany<br> <br> to appear in Nature Methods<br> <br> Contact: stefan.jakobs@mpinat.mpg.de</p> <p>The raw data is provided for academic and visualization purposes only. Please contact the authors for further inquiries.</p>
Ultrasensitive and multiplexed miRNA detection system with DNA-PAINT
<p>This dataset contains the raw data that were used for the publication entitled, "Ultrasensitive and multiplexed miRNA detection system with DNA-PAINT" published in Biosensors and Bioelectronics on 30 December 2023.</p>
Fluorogenic DNA-PAINT for faster, low-background super-resolution imaging
<p>Data associated with publication.</p>
SIMFLUX 80nm DNA-PAINT nanorulers
<p>Dataset from:</p> <p>Cnossen, J., Hinsdale, T., Thorsen, R.Ø. <em>et al.</em> Localization microscopy at doubled precision with patterned illumination. <em>Nat Methods</em> <strong>17</strong>, 59–63 (2020). https://doi.org/10.1038/s41592-019-0657-7</p> <p> </p> <p>Uploaded to zenodo for easy access in programming example</p>
Accelerating DNA-PAINT imaging with a deep neural network
<p>(<a href="https://zenodo.org/api/files/7030c526-533f-44ce-8b8c-01a979fd6b6f/RawFrames_P5-IS_20pM.tif?versionId=55a12821-8472-42f5-91b5-eabda1516e2b">RawFrames_P5-IS_20pM.tif</a>) Raw DNA-PAINT SMLM frames with isolated emitters taken on TOM20 labelled MNTB neuronal rat tissue with P5 imaging strand at 20 pM concentration. </p> <p>(<a href="https://zenodo.org/api/files/7030c526-533f-44ce-8b8c-01a979fd6b6f/Binned_HighDensity_30kpatches.tif?versionId=ac01dd00-3c44-4059-a1b1-3b1045fa636d">Binned_HighDensity_30kpatches.tif</a> and <a href="https://zenodo.org/api/files/7030c526-533f-44ce-8b8c-01a979fd6b6f/Binned_HighDensity_30kpatches.csv?versionId=31e792fc-fab5-43cd-af81-a271595586d0">Binned_HighDensity_30kpatches.csv</a>) Artificially summed high-density emitter patches with the corresponding emitter coordinates used for training the DeepSTORM neural network. </p> <p>(DeepSTORM_model_metadata.mat and DeepSTORM_model_weights_best.hdf5) The trained model metadata and weights used for all predicted images in the study.</p> <p>(Figure 4_Large_super-resolution_image.png) The large super-resolution image in Figure 4 and Figure S4.</p> <p>(High-density-frames_Images 1 - 5 .tif) Five high-emitter density raw frames for alpha-tubulin and TOM20 of 400 frames each.</p> <p>(<a href="https://zenodo.org/api/files/b98093d2-f689-4fef-8222-220c07ca4fe9/Ground-truth-rendered_Image4_Tubulin.tif">Ground-truth-rendered_Image 1 - 5</a>.tif) Five ground truth images rendered in Picasso (drift-corrected, linked localisations, pixel size 13.37 nm/pixel) for alpha-tubulin and TOM20.</p> <p>(<a href="https://zenodo.org/api/files/e726ff9b-45ba-4d3a-b3ba-3e6eaca03d35/Low%20density%20frames%20for%20GT%20images.zip">Low density frames for GT images.zip</a>) Five low-emitter density (0.5 nM) raw frames for alpha-tubulin and TOM20 of 10000 frames each which were used to render ground truth images.</p> <p>(<a href="https://zenodo.org/api/files/e726ff9b-45ba-4d3a-b3ba-3e6eaca03d35/Bassoon_Homer_datasets.zip">Bassoon_Homer_datasets.zip</a>) Three Bassoon and Homer datasets each with a ground truth image and the corresponding high-density raw frames (5 nM, 800 frames).</p>
DNA-PAINT Dye Analysis Study
<p>Localization Microscopy Datasets from this publication: https://dx.doi.org/10.1038/s41592-024-02374-8. Archive contains all relevant .hdf5 datasets.</p>
Data belonging to "DNA-PAINT single-particle tracking (DNA-PAINT-SPT) enables extended single-molecule studies of membrane protein interactions"
<p>Source data for "DNA-PAINT single-particle tracking (DNA-PAINT-SPT) enables extended single-molecule studies of membrane protein interactions"</p>
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