The Experts below are selected from a list of 78924 Experts worldwide ranked by ideXlab platform
Per E Andren - One of the best experts on this subject based on the ideXlab platform.
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msiquant quantitation Software for mass spectrometry Imaging enabling fast access visualization and analysis of large data sets
Analytical Chemistry, 2016Co-Authors: Patrik Kallback, Mohammadreza Shariatgorji, Anna Nilsson, Per E AndrenAbstract:This paper presents msIQuant, a novel instrument- and manufacturer-independent quantitative mass spectrometry Imaging Software suite that uses the standardized open access data format imzML. Its data processing structure enables rapid image display and the analysis of very large data sets (>50 GB) without any data reduction. In addition, msIQuant provides many tools for image visualization including multiple interpolation methods, low intensity transparency display, and image fusion. It also has a quantitation function that automatically generates calibration standard curves from series of standards that can be used to determine the concentrations of specific analytes. Regions-of-interest in a tissue section can be analyzed based on a number of quantities including the number of pixels, average intensity, standard deviation of intensity, and median and quartile intensities. Moreover, the suite’s export functions enable simplified postprocessing of data and report creation. We demonstrate its potential thr...
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novel mass spectrometry Imaging Software assisting labeled normalization and quantitation of drugs and neuropeptides directly in tissue sections
Journal of Proteomics, 2012Co-Authors: Patrik Kallback, Mohammadreza Shariatgorji, Anna Nilsson, Per E AndrenAbstract:MALDI MS Imaging has been extensively used to produce qualitative distribution maps of proteins, peptides, lipids, small molecule pharmaceuticals and their metabolites directly in biological tissue sections. There is growing demand to quantify the amount of target compounds in the tissue sections of different organs. We present a novel MS Imaging Software including protocol for the quantitation of drugs, and for the first time, an endogenous neuropeptide directly in tissue sections. After selecting regions of interest on the tissue section, data is read and processed by the Software using several available methods for baseline corrections, subtractions, denoising, smoothing, recalibration and normalization. The concentrations of in vivo administered drugs or endogenous compounds are then determined semi-automatically using either external standard curves, or by using labeled compounds, i.e., isotope labeled analogs as standards. As model systems, we have quantified the distribution of imipramine and tiotropium in the brain and lung of dosed rats. Substance P was quantified in different mouse brain structures, which correlated well with previously reported peptide levels. Our approach facilitates quantitative data processing and labeled standards provide better reproducibility and may be considered as an efficient tool to quantify drugs and endogenous compounds in tissue regions of interest.
Patrik Kallback - One of the best experts on this subject based on the ideXlab platform.
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msiquant quantitation Software for mass spectrometry Imaging enabling fast access visualization and analysis of large data sets
Analytical Chemistry, 2016Co-Authors: Patrik Kallback, Mohammadreza Shariatgorji, Anna Nilsson, Per E AndrenAbstract:This paper presents msIQuant, a novel instrument- and manufacturer-independent quantitative mass spectrometry Imaging Software suite that uses the standardized open access data format imzML. Its data processing structure enables rapid image display and the analysis of very large data sets (>50 GB) without any data reduction. In addition, msIQuant provides many tools for image visualization including multiple interpolation methods, low intensity transparency display, and image fusion. It also has a quantitation function that automatically generates calibration standard curves from series of standards that can be used to determine the concentrations of specific analytes. Regions-of-interest in a tissue section can be analyzed based on a number of quantities including the number of pixels, average intensity, standard deviation of intensity, and median and quartile intensities. Moreover, the suite’s export functions enable simplified postprocessing of data and report creation. We demonstrate its potential thr...
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novel mass spectrometry Imaging Software assisting labeled normalization and quantitation of drugs and neuropeptides directly in tissue sections
Journal of Proteomics, 2012Co-Authors: Patrik Kallback, Mohammadreza Shariatgorji, Anna Nilsson, Per E AndrenAbstract:MALDI MS Imaging has been extensively used to produce qualitative distribution maps of proteins, peptides, lipids, small molecule pharmaceuticals and their metabolites directly in biological tissue sections. There is growing demand to quantify the amount of target compounds in the tissue sections of different organs. We present a novel MS Imaging Software including protocol for the quantitation of drugs, and for the first time, an endogenous neuropeptide directly in tissue sections. After selecting regions of interest on the tissue section, data is read and processed by the Software using several available methods for baseline corrections, subtractions, denoising, smoothing, recalibration and normalization. The concentrations of in vivo administered drugs or endogenous compounds are then determined semi-automatically using either external standard curves, or by using labeled compounds, i.e., isotope labeled analogs as standards. As model systems, we have quantified the distribution of imipramine and tiotropium in the brain and lung of dosed rats. Substance P was quantified in different mouse brain structures, which correlated well with previously reported peptide levels. Our approach facilitates quantitative data processing and labeled standards provide better reproducibility and may be considered as an efficient tool to quantify drugs and endogenous compounds in tissue regions of interest.
Mohammadreza Shariatgorji - One of the best experts on this subject based on the ideXlab platform.
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msiquant quantitation Software for mass spectrometry Imaging enabling fast access visualization and analysis of large data sets
Analytical Chemistry, 2016Co-Authors: Patrik Kallback, Mohammadreza Shariatgorji, Anna Nilsson, Per E AndrenAbstract:This paper presents msIQuant, a novel instrument- and manufacturer-independent quantitative mass spectrometry Imaging Software suite that uses the standardized open access data format imzML. Its data processing structure enables rapid image display and the analysis of very large data sets (>50 GB) without any data reduction. In addition, msIQuant provides many tools for image visualization including multiple interpolation methods, low intensity transparency display, and image fusion. It also has a quantitation function that automatically generates calibration standard curves from series of standards that can be used to determine the concentrations of specific analytes. Regions-of-interest in a tissue section can be analyzed based on a number of quantities including the number of pixels, average intensity, standard deviation of intensity, and median and quartile intensities. Moreover, the suite’s export functions enable simplified postprocessing of data and report creation. We demonstrate its potential thr...
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novel mass spectrometry Imaging Software assisting labeled normalization and quantitation of drugs and neuropeptides directly in tissue sections
Journal of Proteomics, 2012Co-Authors: Patrik Kallback, Mohammadreza Shariatgorji, Anna Nilsson, Per E AndrenAbstract:MALDI MS Imaging has been extensively used to produce qualitative distribution maps of proteins, peptides, lipids, small molecule pharmaceuticals and their metabolites directly in biological tissue sections. There is growing demand to quantify the amount of target compounds in the tissue sections of different organs. We present a novel MS Imaging Software including protocol for the quantitation of drugs, and for the first time, an endogenous neuropeptide directly in tissue sections. After selecting regions of interest on the tissue section, data is read and processed by the Software using several available methods for baseline corrections, subtractions, denoising, smoothing, recalibration and normalization. The concentrations of in vivo administered drugs or endogenous compounds are then determined semi-automatically using either external standard curves, or by using labeled compounds, i.e., isotope labeled analogs as standards. As model systems, we have quantified the distribution of imipramine and tiotropium in the brain and lung of dosed rats. Substance P was quantified in different mouse brain structures, which correlated well with previously reported peptide levels. Our approach facilitates quantitative data processing and labeled standards provide better reproducibility and may be considered as an efficient tool to quantify drugs and endogenous compounds in tissue regions of interest.
Anna Nilsson - One of the best experts on this subject based on the ideXlab platform.
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msiquant quantitation Software for mass spectrometry Imaging enabling fast access visualization and analysis of large data sets
Analytical Chemistry, 2016Co-Authors: Patrik Kallback, Mohammadreza Shariatgorji, Anna Nilsson, Per E AndrenAbstract:This paper presents msIQuant, a novel instrument- and manufacturer-independent quantitative mass spectrometry Imaging Software suite that uses the standardized open access data format imzML. Its data processing structure enables rapid image display and the analysis of very large data sets (>50 GB) without any data reduction. In addition, msIQuant provides many tools for image visualization including multiple interpolation methods, low intensity transparency display, and image fusion. It also has a quantitation function that automatically generates calibration standard curves from series of standards that can be used to determine the concentrations of specific analytes. Regions-of-interest in a tissue section can be analyzed based on a number of quantities including the number of pixels, average intensity, standard deviation of intensity, and median and quartile intensities. Moreover, the suite’s export functions enable simplified postprocessing of data and report creation. We demonstrate its potential thr...
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novel mass spectrometry Imaging Software assisting labeled normalization and quantitation of drugs and neuropeptides directly in tissue sections
Journal of Proteomics, 2012Co-Authors: Patrik Kallback, Mohammadreza Shariatgorji, Anna Nilsson, Per E AndrenAbstract:MALDI MS Imaging has been extensively used to produce qualitative distribution maps of proteins, peptides, lipids, small molecule pharmaceuticals and their metabolites directly in biological tissue sections. There is growing demand to quantify the amount of target compounds in the tissue sections of different organs. We present a novel MS Imaging Software including protocol for the quantitation of drugs, and for the first time, an endogenous neuropeptide directly in tissue sections. After selecting regions of interest on the tissue section, data is read and processed by the Software using several available methods for baseline corrections, subtractions, denoising, smoothing, recalibration and normalization. The concentrations of in vivo administered drugs or endogenous compounds are then determined semi-automatically using either external standard curves, or by using labeled compounds, i.e., isotope labeled analogs as standards. As model systems, we have quantified the distribution of imipramine and tiotropium in the brain and lung of dosed rats. Substance P was quantified in different mouse brain structures, which correlated well with previously reported peptide levels. Our approach facilitates quantitative data processing and labeled standards provide better reproducibility and may be considered as an efficient tool to quantify drugs and endogenous compounds in tissue regions of interest.
Elliot R. Mcveigh - One of the best experts on this subject based on the ideXlab platform.
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catheter based endomyocardial injection with real time magnetic resonance Imaging
Circulation, 2002Co-Authors: Richard J. Lederman, Alexander Dick, Venkatesh K Raman, Jonathan M. Sorger, Dana C. Peters, Richard B. Thompson, Michael A. Guttman, Elliot R. McveighAbstract:Background — We tested the feasibility of targeted left ventricular (LV) mural injection using real-time MRI (rtMRI). Methods and Results — A 1.5T MRI scanner was customized with a fast reconstruction engine, transfemoral guiding catheter–receiver coil (GCC), MRI-compatible needle, and tableside consoles. Commercial real-time Imaging Software was customized to facilitate catheter navigation and visualization of injections at 4 completely refreshed frames per second. The aorta was traversed and the left ventricular cavity was entered under direct rtMRI guidance. Pigs underwent multiple injections with dilute gadolinium-DTPA. All myocardial segments were readily accessed. The active GCC and the passive Stiletto needle injector were readily visualized. More than 50 endomyocardial injections were performed with the aid of rtMRI; 81% were successful with this first-generation prototype. Conclusion — Percutaneous endomyocardial drug delivery is feasible with the aid of rtMRI, which permits precise 3-dimensional localization of injection within the LV wall.
