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35 results for “time-of-flight”
Identification of Southeast Asian Anopheles mosquito species with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry using a cross-correlation approach
<p>This is the dataset used in the analysis "Identification of Southeast Asian <em>Anopheles </em>mosquito species with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry using a cross-correlation approach". It consists in 3584 raw mass spectra (mzXML file format) of the head of 359 <em>Anopheles </em>mosquito specimens collected in Karen (Kayin state) in Myanmar between 2020 and 2022 and associated metadata (Rdata file format) including sample information (taxonomy.Rdata) and spectra information (metadata.Rdata).</p>
THz driven field emission: energy and time-of-flight spectra of ions (DATASET)
<p>We present an experimental and numerical study of ion field evaporation from LaB6 nanotips using single-cycle terahertz (THz) transients and a static bias voltage. Varying the amplitude and phase of the THz pulses and the value of the<br> bias, we explore the THz-induced reshaping of the ions energy and their time-of-flight spectra. These results prove that short THz transient of about 1 ps can induce ionization and emission of ions from LaB6 samples by a field effect: the THz<br> transient acts as an ultra-short electrical pulse. Moreover, comparing numerical and experimental results, we prove that the response time of surface atoms to the THz transient is shorter than 1 ps, corresponding to the vibration times of acoustic phonons<br> in LaB6.</p> <p>In the following dataset, you can find data from THz-APT obtained from LaB6 sample and results of simulation of ions under THz Field done with Lorentz</p>
Time-of-flight neutron tomography
<p>This dataset contains the wavelength-resolved neutron tomography of a contrast sample imaged with the time-of-flight (TOF) transmission imaging method at the IMAT beamline at the ISIS pulsed neutron source. The sample is made of several polycrystalline materials: nickel, iron, titanium, lead, copper and aluminium</p> <p>The data are pre-processed for the detector event overlap correction, binned in the TOF axis and cropped. The datasets can be used for replicating the tomographic reconstruction as described in (Carminati et al 2020, https://doi.org/10.1107/S1600576720000151), or for further analysis.</p>
Imaging of Organic Samples with Megaelectron Volt Time-of-Flight Secondary Ion Mass Spectrometry Capillary Microprobe
<p>Time-of-flight Secondary Ion Mass Spectrometry (TOF SIMS) with MeV primary ions offers a fine balance between secondary ion yield for molecules in the mass range from 100 to 1000 Da and beam spot size, both of which are critical for imaging applications of organic samples. Using conically shaped glass capillaries with an exit diameter of a few micrometers, a high energy heavy primary beam can be collimated to less than 10 μm. In this work, imaging capabilities of such a setup are presented for some organic samples (leucine-evaporated mesh, fly wing section, ink deposited on paper). Lateral resolution measurement and molecular distributions of selected mass peaks are shown. The negative influence of the beam halo, an unavoidable characteristic of primary beam collimation with a conical capillary, is also discussed. A new start trigger for TOF measurements based on the detection of secondary electrons released by the primary ion is presented. This method is applicable for a continuous primary ion beam, and for thick targets that are not transparent to the primary ion beam. The solution preserves the good mass resolution of the thin target setup, where the detection of primary ions with a PIN diode is used for a start trigger, reduces the background, and enables a wide range of samples to be analyzed.</p>
Photon time-of-flight histograms measured with a photon-counting diffuse LiDAR on Crook Glacier and Collier Glacier, Oregon
<p>This data set contains photon time-of-flight histograms measured in September 2021 on Crook Glacier, Oregon, and two sites on Collier Glacier, Oregon (USA). Each data file is associated with a single measurement using a photon-counting diffuse LiDAR. The files contain a header with geo-location (WGS84) and instrument settings as well as the raw count numbers and integration time for each temporal bin. The given arrival times represent the center of each temporal bin. The color naming scheme of the file names represents the used laser wavelength (blue=405nm, green=520nm, red=640nm), the last number in each filename represents the distance between laser and detector (i.e. 1.8m at 520nm for file "green5_1.8.txt").</p> <p>The data is organized in folders for each site plus an additional folder containing Matlab-code needed for data evaluation. The code uses this folder structure for relative path referencing. Data is evaluated using ExampleDataEvalV2.m, which employs the other three files as helper functions. The helper function ReadTofHisto.m reads the raw data from the measurement files and provides a named structure with the header information.</p> <p>If you wish to use this data set please contact Markus Allgaier at markusa@uoregon.edu with a description of the work and any questions so that we may offer guidance in regards to the best usage of our dataset. When using the data set within a publication, please cite:</p> <p>Markus ALLGAIER, Matthew G. COOPER, Anders E. CARLSON, Sarah W. COOLEY, Jonathan C. RYAN, Brian J. SMITH, "Direct measurement of optical properties of glacier ice using a photon-counting diffuse LiDAR", in preparation (2022)</p>
3D metabolic profiles acquired by a Time-of-Flight Secondary Ion Mass Spectrometry (TOF-SIMS)
<p>Dataset for "Spatially resolved 3D metabolomic profiling in tissues"</p> <p>The Dataset has 6 subdata of TOF-SIMS signal raw data:<br> * Inside germinal center dataset separate into 2<br> * Outside germinal center dataset<br> * Border germinal center dataset<br> * Unlabeled dataset separate into 2<br> * Labeled tonsil tissue dataset<br> * Unlabeled tonsil tissue dataset</p> <p>1 processed data for python numpy version: 3D metabolites npy Data.zip</p> <p>Each dataset is a folder that has 191 txt files corresponding to the signal of 189 mass channels, the sum of all signals and the rest of signals not captured. <br> In each folder, the signal corresponding to a channel is named: name - molecular compound<br> </p>
Time-resolved ARPES RAW data of bulk WSe2 for a quantitative comparison of time-of-flight momentum microscopes and hemispherical analyzers: RAW MM data
<p>Time- and angle-resolved photoemission spectroscopy data of bulk WSe2 using a laser-based XUV source and a time-of-flight momentum microscope analyzer.</p> <p>The dataset here comprises part of the machine RAW data used to construct the processed data stored in the datasets at</p> <pre>https://doi.org/10.5281/zenodo.4067968</pre> <p>Analysis scripts and conversion tools into NeXus format can be found at</p> <p>https://github.com/nomad-coe/nomad-parser-nexus/tree/master/tests/data/tools/dataconverter/readers/mpes</p>
Angle Dependent Spectral Reflectance Material Dataset based on 945 nm Time-of-Flight Camera Measurements
<p>The dataset contains angle dependent spectral reflectance measurements of materials in the infrared spectrum at a wavelength of 945 nm taken by a time-of-flight camera for an angle range of 0° to 80° in incremental steps of 10°, mounted on an adjustable angle measurement device.</p> <p>Each data file is structured in columns with two parameters: reflectance (%) and incidence angle (°).</p> <p>For each single material measurement a description file is attached in a separate ZIP-file.</p> <p>The extended dataset include new materials such as vehicle varnish and moss rubber. This new version further includes pictures for almost each of the measurements to depict the measurement setup and environmental conditions during the data acquisition. They are provided in a separate ZIP-file.</p> <p> </p> <p><strong>Note: </strong>Please always use the latest version!</p>
Multi-photon time-of-flight MLEM application for the positronium imaging in J-PET
<p>Data from the simulation for the J-PET detector with four sources, designed to test positronium imaging reconstruction algorithm.<br> Data generated with the J-PET Geant4 and analyzed with the J-PET Framework.<br> Data in form:<br> Deexcitation Hit2 X[cm], Deexcitation Hit2 Y[cm], Deexcitation Hit2 Z[cm], Deexcitation Hit2 time[ps],<br> Annihilation Hit1 X[cm], Annihilation Hit1 Y[cm], Annihilation Hit1 Z[cm], Annihilation Hit1 time[ps],<br> Annihilation Hit2 X[cm], Annihilation Hit2 Y[cm], Annihilation Hit2 Z[cm], Annihilation Hit2 time[ps]</p>
Proton-transfer-reaction time-of-flight mass spectrometry (PTR-TOF-MS) as a tool for studying animal volatile organic compound (VOC) emissions
<p>1. Chemical sensing in vertebrates is crucial in their lives, and efforts are undertaken towards deciphering their chemical language. Volatile organic compounds (VOCs) is a group of chemicals believed to play an essential role in a wide variety of animal interactions. Therefore, understanding what animals sense themselves and untangling the ecological role of their volatile cues can be accomplished by analysing VOC emissions. A Proton-Transfer Reaction Time-of-Flight Mass Spectrometer (PTR-TOF-MS) is an instrument that measures VOCs in real-time in an air sample. Since this technique acts as a hyper-sensitive 'nose' it has a similar potential in deciphering the chemical language of vertebrates.</p> <p>2. Here, we validate the use of PTR-TOF-MS as a tool to measure VOCs from vertebrates, which in turn will help resolve vertebrate interactions through VOCs. The instrument monitors and records the full spectrum of VOCs emitted by an individual with a high accuracy and low detection limit, including transient VOC emissions. We propose and test diverse measuring configurations that allow for measurement of VOC emissions from different vertebrates and their exudates: full body, specific parts of the body, urine and femoral pores. In addition, we test configurations for sudden and short-lasting processes as VOCs emitted during adder skin shedding as well as the emissions of skin secretions upon mechanical and physiological stimulation in amphibia. Our configurations work in tandem with Gas Chromatography Mass Spectrometry (GC-MS) to allow compound structure verification.</p> <p>3. We discuss the configurations and methodologies used and conclude with recommendations for further studies, such as the choice of chamber size and flow. We also report the results of the measurements on vertebrates —that are novel to science— and discuss their ecological meaning.</p> <p>4. We argue that PTR-TOF-MS has a high potential to resolve important unanswered questions in vertebrate chemical ecology with great adaptability to a wide range of experimental setups. If combined with a structure verification tool, such as GC-MS, the creative deployment of PTR-TOF-MS in various future study designs will lead to the identification of ecologically relevant VOCs.</p>
Response of protonated, adduct, and fragmented ions in Vocus proton-transfer-reaction time-of-flight mass (PTR-ToF-MS) spectrometer
<p>Here, we provide the time series and processed results of two sets of experiments: RH experimental results and instrument setting results:</p> <p><a href="../api/records/10947779/draft/files/202305015_E_N_BSQ_RF.pxp/content" target="_blank" rel="noopener noreferrer">202305015_E_N_BSQ_RF.pxp</a>: instrument setting results.</p> <p><a href="../api/records/10947779/draft/files/VOC_PTR_RH_20230427.pxp/content" target="_blank" rel="noopener noreferrer">VOC_PTR_RH_20230427.pxp</a>: RH experimental results.</p> <p><a href="../api/records/10947779/draft/files/VOC_PTR_S_k_20230501.pxp/content" target="_blank" rel="noopener noreferrer">VOC_PTR_S_k_20230501.pxp</a>: k value result analysis</p>
Reproducible, high-dimensional imaging in archival human tissue by Multiplexed Ion Beam Imaging by Time-of-Flight (MIBI-TOF)
<p>1. SingleChannelMIBI.zip: Single-channel MIBI-TOF images</p> <p>All folders are labeled as Slide[Number]Stain[Number]_Point[Number]_[TMACoreIndex], where the slide number and stain number correspond to the slide and day of staining, the point number corresponds to the order in which the images were collected for each slide, and the TMA core index corresponds to the ID of the tissue microarray core. Each folder contains single-channel TIFFs for each marker. See paper for details.</p> <p>2. SegmentationOutput.zip: Segmentation output of MIBI-TOF images</p> <p>Cell segmentation was performed using Mesmer (Greenwald NF, Nature Biotechnology 2021, https://www.deepcell.org/predict). Output of Mesmer that delineates the single cells in each of the images is included here. Naming convention is the same as above.</p> <p>3. DataTables.zip: Data tables that are needed to run mpi_ppp_ihc_regression.ipynb</p> <p>Contains MIBI-TOF data (ionpath_processed_data.csv), MIBI-TOF calibration data (calibration_data.csv), IHC data (ihc_data.csv), and a map of each sample to its tissue type (tissue_data.csv). Also includes cell table output from Mesmer with the cell clusters appended to the table (cell_table_size_normalized_clusters.csv).</p>
Organic aerosol source apportionment in Zurich using extractive electrospray ionization time-of-flight mass spectrometry (EESI-TOF): Part I, biogenic influences and day/night chemistry in summer
<p>Ambient measurement campaign took place during summer 2016 in Zurich. The sources of organic aerosol were disclosed. The novel extractive electrospray ionization time-of-flight mass spectrometer (EESI-TOF) could provide direct chemical evidence linking ambient SOA to its precursor emissions including a strong influence of biogenic emissions. Additionally provided some insight into the day/night reaction environment and high-detailed chemical composition.</p>
Reconstructed spatial resolution and contrast recovery with Bayesian penalized likelihood reconstruction (Q.Clear) for FDG-PET compared to time-of-flight (TOF) with point spread function (PSF)
<p>DICOM data and SPSS datasets with all derived measures (SUV, recovery coefficients, spatial resolution, SNR) that are the basis for the publication.</p>
Supplemental Video for "Direct Two-Dimensional Goniometric Steering of Vacuum Electrospray Ion Beams for Angular Time-of-Flight Studies"
<p>Supplemental video for the paper submitted to RSI titled "Direct Two-Dimensional Goniometric Aiming of Vacuum Electrospray Ion Beams for Angular Time-of-Flight Studies". </p> <p>A dual-axis goniometer is used to directly aim a vacuum electrospray ionization source (vESI). This device enables the ion beam to be aimed onto a target to dramatically increase the SNR of downstream diagnostics while also enable angular time-of-flight studies of the vESI plumes.</p>
Fig. 2 in Global metabolome analysis of Dunaliella tertiolecta, Phaeobacter italicus R11 Co-cultures using thermal desorption - Comprehensive two-dimensional gas chromatography - Time-of-flight mass spectrometry (TD-GC×GC-TOFMS)
Fig. 2. Workflow for sample preparation and injection. Culture samples were filtered and dried (A–B). Dried filter papers were placed in clean vials (C) and then resuspended in methanol (D) before being extracted with Chloroform (E). Water was added (F) and subsequently, the chloroform layer was aliquotted into GC vials (G) for further sample preparation. Extracts were dried (H) and then derivatized using a two-step methoximation/silylation process to yield derivatized extracts (I). 9-μL aliquots of derivatized extracts were automatically transferred to microvial inserts in thermal desorption tubes for injection (J) using an initial solvent vent step to remove excess solvent and derivatisation reagents (K), followed by thermal desorption to a cooled PTV inlet and subsequent splitless injection to the GC × GC-TOFMS system. Non-volatile residues from the extracts remained in the microvial insert for subsequent disposal (L). See text for details.
Fig. 4 in Global metabolome analysis of Dunaliella tertiolecta, Phaeobacter italicus R11 Co-cultures using thermal desorption - Comprehensive two-dimensional gas chromatography - Time-of-flight mass spectrometry (TD-GC×GC-TOFMS)
Fig. 4. From left to right: results of principal component analysis of the raw data (autoscaled), similarly scaled data normalised to class-specific TUPA, and the normalised, scaled data using the selected features from the FS-CR routine. Quality control samples were not included in the feature selection routine, and are displayed as filled icons connected to their corresponding replicate with a straight line, following projection into the optimised principal component space. Confidence ellipses were drawn about each sample class for a confidence interval of 0.95. Note the convention: DUN refers to D. tertiolecta samples, CO refers to co-culture samples, and BAC refers to P. italicus R11 samples.
Dataset for "Multi-photon time-of-flight MLEM application for the positronium imaging in J-PET"
<p>Dataset used to reconstruct an image of 4-sources. Simulated using J-PET Geant4 and analyzed with the J-PET Framework.</p><p>In the form of <br>X position [cm], Y position [cm], Z position [cm], Time [ps]<br>for every hit in an event and as folows<br>deexcitation hit, first annihilation hit, second annihilation hit</p>
Proteomic Approach Using Matrix-assisted Laser Desorption/Ionization Tandem Time-of-flight (MALDI-TOF/TOF) of Tumor Response in Rectal Carcinoma After Radiochemotherapy
ClinicalTrials.gov study NCT00855946. IPD Sharing: Not stated. Countries: 1. Publications: 34.
Proton-transfer-reaction time-of-flight mass spectrometry (PTR-TOF-MS) as a tool for studying animal volatile organic compound (VOC) emissions
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