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389 results for “Lifetime”
Sparks et al, Heterogeneity in tumor chromatin-doxorubicin binding revealed by in vivo fluorescence lifetime imaging confocal endomicroscopy: In vitro data
<p>Data is divided into three folders:</p> <ul> <li>Sparks_et_al_FIG2_Histone_vs_free_GFP <ul> <li>data for Sparks et al Figure 2</li> <li>main text section: <em>'FRET between chromatin-bound GFP and doxorubicin'</em></li> </ul> </li> <li>Sparks_et_al_FIG3_in_vitro_dose_response <ul> <li>data for Sparks et al Figure 3#</li> <li>main text section:<em> 'FLIM endomicroscope can monitor doxorubicin cellular uptake'</em></li> </ul> </li> <li>Sparks_et_al_SuppFIG2_endoscope_spectral_cross_talk <ul> <li>data for Sparks et al Supplementary Figure 2</li> <li>Supplementary information</li> </ul> </li> </ul> <p><strong>Cell lines</strong></p> <p>IGROV-1 cell lines were cultured in CO<sub>2</sub> dependent media with 10% fetal bovine serum and 1% Pen Strep at 37 ˚C. Before experiments, cells were grown to 80% confluence. For measuring doxorubicin uptake by fluorescence an IGROV-1 cell line stably expressing GFP fused to Histone-1 (H1) was made using the PiggyBac transposon system. As a control to show that effect of doxorubicin on GFP depends on whether it is fused to H1 or not, a stable whole cell expression of GFP by lentiviral transfection and selection by Geneticin was made. For bioluminescence imaging of xenograft tumors, all IGROV-1 cell lines were made to stably express firefly luciferase.</p> <p>To investigate the effect of doxorubicin on other histones, IGROV-1 cells were transiently transfected with a Histone-2B-GFP plasmid (gift from Kurt Anderson) using the Lipofectamine® 2000 reagent.</p> <p>IGROV-1 cells were obtained from Crick institute cell services and confirmed as IGROV-1 by Short Tandem Repeats (STR) profiling and no mycoplasma was detected.</p> <p><strong>In vitro experiments</strong></p> <p>IGROV-1 cells were grown to 80% confluence in 75 ml flasks before being re-plated in 12 or 24 well plates or 35 ml glass bottomed dishes and allowed to attach to the surface for 24 hours before experiments.</p> <p>To study how the fluorescence of GFP labelled H1 labelled IGROV-1 cells changes with doxorubicin treatment, fluorescence intensity and lifetime distributions were measured from cells after 3 hours of incubation with doxorubicin of varying concentrations (0, 0.18, 0.9, 1.8, 9, 18 µM) by serial dilutions of a stock solution with PBS. After 3 of hours, cells were washed in PBS then fixed for 20 minutes in 4% PFA. Cells were then imaged in PBS. Doxorubicin hydrochloride (Sigma-Aldrich, D1515-10 mg) was dissolved in PBS to a concentration of 9 mM and stored at -20˚C.</p>
Sparks et al, Heterogeneity in tumor chromatin-doxorubicin binding revealed by in vivo fluorescence lifetime imaging confocal endomicroscopy: in vivo data
<p>Data is divided into three folders:</p> <ul> <li>Sparks_et_al_FIG_6_IP_intranodule_heterogeneity <ul> <li>data for Sparks et al Figure 6</li> <li>main text section: <em>'FRET between chromatin-bound GFP and doxorubicin'</em></li> </ul> </li> <li>Sparks_et_al_FIG4_5_6_IP_IV_chemo_comparison <ul> <li>data for Sparks et al Figures 4,5 & 6</li> <li>main text section:<em> 'FLIM endomicroscope can monitor doxorubicin cellular uptake'</em></li> </ul> </li> <li>Sparks_et_al_FIG6_IP__internodule_heterogeneity <ul> <li>data for Sparks et al Figure 6</li> <li>main text section: <em>'Intra-tumor heterogeneity'</em></li> </ul> </li> </ul> <p><strong>In vivo experiments</strong></p> <p>Murine xenografts were prepared by intraperitoneal (IP) injection of IGROV-1 cancer cells. IGROV-1 cells were grown to 80% confluence before being trypsinized and re‑suspended in PBS at a concentration of cells per ml. cells were injected into ICRF nude mice. After 14 days post-injection, the presence of intraperitoneal tumors was confirmed by bioluminescence imaging. Briefly, an IVIS bioluminescence imaging system was used to image isoflurane anesthetized mice. 100 µl of D-luciferin (luciferase substrate) at 30mg ml<sup>-1</sup> was injected IP 10 minutes before recording of bioluminescence images. The presence of peritoneal tumors was confirmed if bioluminescence signals from the peritoneum were above background noise 10-30 minutes after D‑luciferin injections. Following confirmation of tumors, in vivo fluorescence imaging experiments were carried out after 21 days. To study differences in drug uptake between intravenous or intraperitoneal delivery, prior to imaging mice were subject to IP or IV doxorubicin-based chemotherapy for 1.5, 3 or 24 hours. Imaging involved terminal procedures, mice were anesthetized then peritoneal tumors were exposed by minor surgery and inspected with the CEM.</p> <p>All animal model procedures were approved by The Francis Crick Institute Biological Ethics Committee and UK Home Office authority provided by Project License 70/8380.</p> <p> </p> <p> </p>
Data for article: Understanding the Visible-light Photocatalytic Activity of GaN:ZnO Solid Solution: the Role of Rh2-yCryO3 Cocatalyst and Charge Carrier Lifetimes Over Tens of Seconds
<p>Dataset underlying the publication 'Understanding the Visible-light Photocatalytic Activity of GaN:ZnO Solid Solution: the Role of Rh<sub>2-y</sub>Cr<sub>y</sub>O<sub>3</sub> Cocatalyst and Charge Carrier Lifetimes Over Tens of Seconds', published in Chemical Science (doi: 10.1039/C8SC02348D)</p>
Energy measurements for analyzing medical-implant-battery lifetime
<p>The dataset comprises of energy-consumption measurements pertaining to a modern ultra-low-power MCU (EFM32TG11). These numbers were used to evaluate the impact of using certain cryptographic primitives on the battery lifetime of implantable medical devices.</p> <p>Further details can be found in the relevant publication:</p> <p>Muhammad Ali Siddiqi and Christos Strydis. 2019. IMD security vs. energy: are we tilting at windmills?: POSTER. In <em>Proceedings of the 16th ACM International Conference on Computing Frontiers</em> (CF '19). ACM, New York, NY, USA, 283-285. DOI: https://doi.org/10.1145/3310273.3323421</p>
Positronium Lifetime Validation Measurements with PET/CT
<p>Processed data from the publication W. Steinberger et al. EJNMMI Physics <strong>11</strong>, 76 (2024) available at https://doi.org/10.1186/s40658-024-00678-4</p> <p>The evaluated singles data (the .l files) is in binary format. Its made of 64 bit floating point numbers and the data is organized as x,y,z,t. The three coordinates are in mm and the time difference between the prompt and coincidence photon is in ns for each detected three-photon event. It can be read with the following Python function, which returns a large table with four columns. </p> <blockquote> <p>def read_singles_binary(file):<br> a = np.fromfile(file, dtype=np.float64).reshape((-1,4))<br> a = a[:,[1,2,0,3]] # convert to zyx<br> a[:,0] *= -1 # flip z<br> a[:,1] *= -1 # flip y<br> return a</p> </blockquote> <p> </p> <p>The text files are time difference distributions with two columns: time difference in ns and number of counts. </p> <p> </p> <p> </p>
Data for "Using physics-informed neural networks to predict the lifetime of laser powder bed fusion processed 316L stainless steel under multiaxial low-cycle fatigue loading"
<p>Title of dataset: Data for "Using physics-informed neural networks to predict the lifetime of laser powder bed fusion processed 316L stainless steel under multiaxial low-cycle fatigue loading".</p> <p>Name/institution/contact information: Dr. Michal Bartošák, Czech Technical University in Prague - Faculty of Mechanical Engineering, email: michal.bartosak@fs.cvut.cz.</p> <p>Date of data collection: The data were collected between 2021 and 2024.</p> <p>File name structure: The data consists of two files: "316L_fatigue_and_defects.xls," which contains fatigue lifetime data and defect characteristics, and an associated description file, "read_me.txt."</p> <p>See "https://doi.org/10.1016/j.ijfatigue.2024.108608" for the associated article and a detailed description of the methods.</p>
Dataset for: Non-Markovian effects of two-level systems in a niobium coaxial resonator with asingle-photon lifetime of 10 milliseconds
<p> Datasets for the publication "Non-Markovian effects of two-level systems in a niobium coaxial resonator with asingle-photon lifetime of 10 milliseconds ", Physical Review Applied (2021). The upload contains the data as well as the evalationb routines to repdroduce the figures in the publication.</p>
Data from: Additive effects of developmental acclimation and physiological syndromes on lifetime metabolic and water loss rates of a dry-skinned ectotherm
<p>Data sets from the paper: "Additive effects of developmental acclimation and physiological syndromes on lifetime metabolic and water loss rates of a dry-skinned ectotherm" by Dezetter et al. in Functional Ecology.</p> <p> </p> <p> </p>
Dataset for "Surface-Atmosphere Decoupling Prolongs Cloud Lifetime Under Warm Advection Due To Reduced Entrainment Drying"
<p>Dataset for "Surface-Atmosphere Decoupling Prolongs Cloud Lifetime Under Warm Advection Due To Reduced Entrainment Drying". The LES model used is the System for Atmospheric Modeling (SAM) model (http://rossby.msrc.sunysb.edu/~marat/SAM.html). </p>
Example of Fluorescence Lifetime Imaging Microscopy (FLIM) image stack in .ptu format
<p>The dataset is a 3D stack of fluorescence lifetime imaging microscopy (FLIM) images in ptu format to be used as test and training data. It contains the original .lif file (1) with the stack and a single plane image (to be opened using LAS X and LAS X SMD FLIM), exported raw FLIM data in .ptu format of the stack (3) and the single plane (2a) (to be opened in software capable of reading .ptu files) as well as an intensity image in .tif format (2b) of the single plane for a quick sample overview.</p> <p>The sample is a cross-section of hazel (<em>Corylus avellana</em>) 'diclinous male flower t.s.' with Etzold staining provided by the company Zeiss (CZ 01/05). The dataset was generated using a Leica Stellaris 8 upright confocal laser scanning microscope using a 93x/1.4 glycerol immersion objective. Each image of the 65 slice stack with z step size of 0.287 µm contains 512 x 512 pixels with a pixel size of 0.078 µm x 0.078 µm. Excitation was done with a white-light laser at 491 nm and a laser pulse rate of 40 MHz and a pixel dwell time of 2.0875 µs. Images were acquired using a HyD X detector in counting mode in the spectral range of 496 to 739 nm using Leica Application Suite X (LAS X) version 4.4.0.24861 and LAS X SMD FLIM version 4.5.0 for FLIM image acquisition. 10 frames were accumulated per image. Metadata is available as text file (4a) and as metadata files from LAS X (4b).</p>
Lifetime carryover of early partial migration behaviors in an estuarine-dependent fish under climate change
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Lifetimes and timescales of tropospheric ozone: Ozone emission experiments
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Data from: Females with attractive mates gain environmental benefits that increase lifetime and multi-generational fitness
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Using complementary biomarkers to unravel fish lifetime exposure to hypoxia and mercury
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Foraging strategies and lifetime fitness in northern elephant seals
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The airborne lifetime of small speech droplets and their potential importance to SARS-CoV-2 transmission
<p> Movies that show the experimental setup and the full 85-minute observation of speech droplet nuclei.</p> <p> </p> <p>The full movie recording of highly sensitive laser light scattering observations that indicate loud-speaking generates, in addition to hundreds of regular droplets, also many thousands of micro-droplets per second. This movie clip shows the decay of airborne particles.</p> <p> </p> <p>Note: some parts of the audio of the clips were muted for privacy.</p>
Dataset related to article "Evaluation of cell metabolic adaptation in wound and tumour by fluorescence Lifetime imaging Microscopy"
<p>This record contains data related to article "Evaluation of cell metabolic adaptation in wound and tumour by fluorescence Lifetime imaging Microscopy"</p> <p>Abstract</p> <p>Acidic pH occurs in acute wounds progressing to healing as consequence of a cell metabolic adaptation in response to injury-induced tissue hypoperfusion. In tumours, high metabolic rate leads to acidosis affecting cancer progression. Acidic pH affects activities of remodelling cells in vitro. The pH measurement predicts healing in pathological wounds and success of surgical treatment of burns and chronic ulcers. However, current methods are limited to skin surface or based on detection of fluorescence intensity of specific sensitive probes that suffer of microenvironment factors. Herein, we ascertained relevance in vivo of cell metabolic adaptation in skin repair by interfering with anaerobic glycolysis. Moreover, a custom-designed skin imaging chamber, 2-Photon microscopy (2PM), fluorescence lifetime imaging (FLIM) and data mapping analyses were used to correlate maps of glycolytic activity in vivo as measurement of NADH intrinsic lifetime with areas of hypoxia and acidification in models of skin injury and cancer. The method was challenged by measuring the NADH profile by interfering with anaerobic glycolysis and oxidative phosphorylation in the mitochondrial respiratory chain. Therefore, intravital NADH FLIM represents a tool for investigating cell metabolic adaptation occurring in wounds, as well as the relationship between cell metabolism and cancer.</p>
Data and code for "On the Effects of the Ocean on Atmospheric CFC-11 Lifetimes And Emissions" (Wang et al. 2021, PNAS)
<p>Data directory includes prescribed emission in MITgcm for CFC-11 and CFC-12, and MITgcm output under different forcing runs. Code directory includes all the code used to generate plots in the paper entitled "On the Effects of the Ocean on Atmospheric CFC-11 Lifetimes And Emissions" (Wang et al. 2021, PNAS). </p>
Data from: Parameterizing the robust design in the BUGS language: lifetime carry‐over effects of environmental conditions during growth on a long‐lived bird
1. Since the initial development of the robust design, this capture‐recapture model structure has been modified to estimate temporary emigration, and expanded to include auxiliary information such as band recovery and live resight data using maximum likelihood approaches. These developments have allowed investigators to separately assess individual and group effects on true survival, site fidelity, and temporary emigration. Additionally, recent advances in the BUGS language have allowed researchers to develop increasingly complex, user‐specified models in Bayesian frameworks. 2. The robust design has rarely been implemented in the BUGS language, and previous attempts to parameterize the robust design in BUGS exhibited strong bias in estimates of temporary emigration rates. Given the limitations of current parameterizations of the robust design in Bayesian frameworks, and our research objectives, we have developed a parameterization of the robust design in the BUGS language that produces unbiased estimates of all model parameters. 3. We use this novel model structure to examine lifetime carry‐over effects of environmental conditions during early life on annual breeding probabilities of Pacific black brent (Branta bernicla nigricans) breeding on the Yukon‐Kuskokwim River Delta in western Alaska. We found that individuals that were more structurally developed as goslings bred at increased rates as adults (β = 0.14, f = 0.94), with no effect on adult survival (β = 0.01, f = 0.62). Additionally, we provide evidence for long‐term declines in apparent survival of breeding adult females at the population level (β = ‐0.01, f = 0.90). 4. This novel model structure can be easily expanded (Gibson et al., in review), and has important implications for population modelling at broad scales, where we apply it to a declining population of Pacific black brent. Given long‐term declines in gosling growth on the Yukon‐Kuskokwim Delta, we predict future declines in population trajectories as a result of lifetime carry‐over effects of environmental conditions during growth on adult fecundity, and long‐term declines in adult survival.
Development of low-cost instrumentation for single point autofluorescence lifetime measurements
<p>Dataset used for analysis in the paper. ABSTRACT: Autofluorescence lifetime measurements, which can provide label-free readouts in biological tissues, contrasting e.g. different types and states of tissue matrix components and different cellular metabolites, may have significant clinical potential for diagnosis and to provide surgical guidance. However, the cost of the instrumentation typically used currently presents a barrier to wider implementation. We describe a low-cost single point time-resolved autofluorescence instrument, exploiting modulated laser diodes for excitation and FPGA-based circuitry for detection, together with a custom constant fraction discriminator. Its temporal accuracy is compared against a “gold-standard” instrument incorporating commercial TCSPC circuitry by resolving the fluorescence decays of reference fluorophores presenting single and double exponential decay profiles. To illustrate the potential to read out intrinsic contrast in tissue, we present preliminary measurements of autofluorescence lifetime measurements of biological tissues <em>ex vivo.</em> We believe that the lower cost of this instrument could enhance the potential of autofluorescence lifetime metrology for clinical deployment and commercial development.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.