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Set de datos (Dataset). 2025

Replication Data for: "CheShImP: Democratising Magnetic Resonance Spectroscopic Imaging Data Processing"

CORA.Repositori de Dades de Recerca
doi:10.34810/data2815
CORA.Repositori de Dades de Recerca
  • Gomez-Cabeza, David
MRI images (proton and chemical shift) data extracted from a Bruker 3T BioSpec system using ParaVision 360 V3.4 and processed CSI and EPSI spectroscopic images corresponding to the validation of an automated platform to process MRI chemical shift images (CheShImP). We assessed the platform on unfertilised chicken eggs, a male mice and microfluidic platforms. We evaluated both proton (1H) and carbon (13C) spectroscopy, as well as enzymatic reactions. Hence, this data provides examples to process using CheShImP (developed in MATLAB), an easy-to-use, open-source platform as well as how to handle the output data from the platform using common Python code. To access the software presented in this work and explanation documentation on how to use it, access the GitHub repository https://github.com/DavidGomezCabeza/CheShImP.
 
DOI: https://doi.org/10.34810/data2815
CORA.Repositori de Dades de Recerca
doi:10.34810/data2815

HANDLE: https://doi.org/10.34810/data2815
CORA.Repositori de Dades de Recerca
doi:10.34810/data2815
 
Ver en: https://doi.org/10.34810/data2815
CORA.Repositori de Dades de Recerca
doi:10.34810/data2815
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CORA.Repositori de Dades de Recerca
doi:10.34810/data2815
Set de datos (Dataset). 2025

REPLICATION DATA FOR: "CHESHIMP: DEMOCRATISING MAGNETIC RESONANCE SPECTROSCOPIC IMAGING DATA PROCESSING"

CORA.Repositori de Dades de Recerca
  • Gomez-Cabeza, David
MRI images (proton and chemical shift) data extracted from a Bruker 3T BioSpec system using ParaVision 360 V3.4 and processed CSI and EPSI spectroscopic images corresponding to the validation of an automated platform to process MRI chemical shift images (CheShImP). We assessed the platform on unfertilised chicken eggs, a male mice and microfluidic platforms. We evaluated both proton (1H) and carbon (13C) spectroscopy, as well as enzymatic reactions. Hence, this data provides examples to process using CheShImP (developed in MATLAB), an easy-to-use, open-source platform as well as how to handle the output data from the platform using common Python code. To access the software presented in this work and explanation documentation on how to use it, access the GitHub repository https://github.com/DavidGomezCabeza/CheShImP.

DOI: https://doi.org/10.34810/data2815


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2 Documentos relacionados

CORA.Repositori de Dades de Recerca
doi:10.34810/data1028
Set de datos (Dataset). 2024

REPLICATION DATA FOR: "LEVERAGING MAGNETIC RESONANCE IMAGING TO ASSESS BIOCOMPATIBLE SCAFFOLDS DIFFUSION AND FLOW-DRIVEN PERFUSION FOR LAB-ON-A-CHIP SYSTEMS"

CORA.Repositori de Dades de Recerca
  • Gomez-Cabeza, David
MRI images data extracted from a Bruker 3T BioSpec system corresponding to passive diffusion and perfusion studies of biocompatible scaffolds (hydrogels and cryogels). We assessed passive diffusion by imaging using MRI the wet (water) scaffolds inside a recipient containing deuterium oxide (i.e., heavy water), which is invisible in MRI if we observe the normal water frequency. We studied the perfusion properties of the scaffolds using microfluidics, immobilising the scaffolds in wells carved into the chips, and using heavy water as a contrast agent as well. To process these image, access the python code developed for this work at https://github.com/DavidGomezCabeza/ScaffoldsDifPerfPaper_2023, and only change the directory paths.

DOI: https://doi.org/10.34810/data1028


CORA.Repositori de Dades de Recerca
doi:10.34810/data2815
Set de datos (Dataset). 2025

REPLICATION DATA FOR: "CHESHIMP: DEMOCRATISING MAGNETIC RESONANCE SPECTROSCOPIC IMAGING DATA PROCESSING"

CORA.Repositori de Dades de Recerca
  • Gomez-Cabeza, David
MRI images (proton and chemical shift) data extracted from a Bruker 3T BioSpec system using ParaVision 360 V3.4 and processed CSI and EPSI spectroscopic images corresponding to the validation of an automated platform to process MRI chemical shift images (CheShImP). We assessed the platform on unfertilised chicken eggs, a male mice and microfluidic platforms. We evaluated both proton (1H) and carbon (13C) spectroscopy, as well as enzymatic reactions. Hence, this data provides examples to process using CheShImP (developed in MATLAB), an easy-to-use, open-source platform as well as how to handle the output data from the platform using common Python code. To access the software presented in this work and explanation documentation on how to use it, access the GitHub repository https://github.com/DavidGomezCabeza/CheShImP.

DOI: https://doi.org/10.34810/data2815


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