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3 results for “living cell fluorescence imaging”
Spatiotemporal multiplexed immunofluorescence imaging of living cells and tissues with bioorthogonal cycling of fluorescent probes
<p>Raw multichannel and/or Z-stack source data from time series images in TIF format to accompany publication of:</p> <p><strong>Spatiotemporal multiplexed immunofluorescence imaging of living cells and tissues with bioorthogonal cycling of fluorescent probes</strong></p> <p>Jina Ko<sup>1</sup>, Martin Wilkovitsch<sup>2</sup>, Juhyun Oh<sup>1</sup>, Rainer Kohler<sup>1</sup>, Evangelia Bolli<sup>1,3</sup>, Mikael J. Pittet<sup>1,3,4,5</sup>, Claudio Vinegoni<sup>1</sup>, David B. Sykes<sup>6,7</sup>, Hannes Mikula<sup>2</sup>, Ralph Weissleder<sup>1,8</sup>*, Jonathan C. T. Carlson<sup>1,7</sup>*</p> <p><sup>1 </sup>Center for Systems Biology, Massachusetts General Hospital, 185 Cambridge St, CPZN 5206, Boston, MA 02114 </p> <p><sup>2</sup> Institute of Applied Synthetic Chemistry, TU Wien, 1060 Vienna, Austria </p> <p><sup>3</sup> Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland</p> <p><sup>4</sup> Ludwig Institute for Cancer Research, Lausanne Branch, Switzerland</p> <p><sup>5</sup> AGORA Cancer Center, Lausanne, Switzerland</p> <p><sup>6</sup> Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA</p> <p><sup>7 </sup>Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA</p> <p><sup>8 </sup>Department of Systems Biology, Harvard Medical School, 200 Longwood Ave, Boston, MA 02115</p>
Sample data for "Live Cell Fluorescence Microscopy – An End-to-End Workflow for High-Throughput Image and Data Analysis"
<p>This repository contains:</p> <ul> <li> <p>Sample data for the "Live Cell Fluorescence Microscopy – From Sample Preparation to Numbers and Plots" methodology paper by Zahumensky & Malinsky. The paper describes the preparation of live yeast cell samples for microscopy, the subsequent semi-automatic analysis of the microscopy images using our custom-written Fiji macros, and automatic processing of the output (Results table) from the image analys using custom-written R scripts. The data provided here are real experimental data from two publications of our group: Zahumensky et al., 2022 and Vesela et al., 2023</p> </li> <li> <p>"Results tables" from the Fiji based analysis</p> </li> <li> <p>Outputs of the processing of these Results tables using our R scripts, in the form of summary tables, graphs, and statistical analyses</p> </li> </ul>
Live-cell imaging data set of HaCaT FUCCI cells with BF/DIC and fluorescence
<p>This dataset contains time-lapse acquisitions of HaCaT FUCCI cells cultured in 8-well chambered coverslips with fluorobrite media. Cells were provided by Dr. Francesco Pasqualini and Dr. Moises di Sante (<a title="http://www.syntheticphysiologylab.com/" href="http://www.syntheticphysiologylab.com/" target="_blank" rel="noreferrer noopener">http://www.syntheticphysiologylab.com</a>), and videos acquired at the Henriques Lab (<a title="https://henriqueslab.org/" href="https://henriqueslab.org/" target="_blank" rel="noreferrer noopener">https://henriqueslab.org/</a>). </p> <p>HaCaT_FUCCI_BF-live set: Nikon Ti2, Channels BF (16 bit), FITC (12 bit sensitive) and Cy5 (12 bit sensitive). 20 positions, acquired in Nikon Ti2 with a 20x/0.8, every 30 minutes for 18 hours. </p> <p><span>HaCaT_FUCCI_DIC-live set: Nikon Ti2, Channels DIC, FITC and Cy5 (all 12 bit sensitive). 20 positions, acquired in Nikon Ti2 with a 20x/0.8, every 30 minutes for 18 hours. </span></p>
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