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RESEARCH PRODUCT
PyDSC: a simple tool to treat differential scanning calorimetry data
Aline CisseLeonardo ChiappisiJudith PetersGiuseppe Lazzarasubject
Computer science030303 biophysicsDSC03 medical and health sciencesSoftwareDifferential scanning calorimetryprotein conformationPhysical and Theoretical ChemistrySpurious relationshipReliability (statistics)0303 health sciencesReproducibilityInstrument controlSIMPLE (military communications protocol)business.industry030302 biochemistry & molecular biologypolymer stabilityCondensed Matter PhysicsKey featuresbaseline correction540 Chemie und zugeordnete Wissenschaftenphase transitionddc:540businessAlgorithmPythondescription
AbstractHerein, we describe an open-source, Python-based, script to treat the output of differential scanning calorimetry (DSC) experiments, called pyDSC, available free of charge for download at https://github.com/leonardo-chiappisi/pyDSC under a GNU General Public License v3.0. The main aim of this program is to provide the community with a simple program to analyze raw DSC data. Key features include the correction from spurious signals, and, most importantly, the baseline is computed with a robust, physically consistent approach. We also show that the baseline correction routine implemented in the script is significantly more reproducible than different standard ones proposed by proprietary instrument control software provided with the microcalorimeter used in this work. Finally, the program can be easily applied to large amount of data, improving the reliability and reproducibility of DSC experiments.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-05-16 |