Search results for "baseline correction"

showing 2 items of 2 documents

Leaf-Level Spectral Fluorescence Measurements : Comparing Methodologies for Broadleaves and Needles

2019

Successful measurements of chlorophyll fluorescence (ChlF) spectral properties (typically in the wavelength range of 650–850 nm) across plant species, environmental conditions, and stress levels are a first step towards establishing a quantitative link between solar-induced chlorophyll fluorescence (SIF), which can only be measured at discrete ChlF spectral bands, and photosynthetic functionality. Despite its importance and significance, the various methodologies for the estimation of leaf-level ChlF spectral properties have not yet been compared, especially when applied to leaves with complex morphology, such as needles. Here we present, to the best of our knowledge, a first comparison of …

0106 biological sciencesCorrection methodMaterials science010504 meteorology & atmospheric sciencesSciencesun-induced fluorescenceAnalytical chemistryleaf morphology01 natural sciencesSpectral lineFluoWatlingonberryLEAVESChlorophyll fluorescence0105 earth and related environmental sciences4112 Forestryphotosynthesischlorophyll fluorescencesilver birchQSpectral propertiesSpectral bandsOPTICAL-PROPERTIESA FLUORESCENCECANOPY-LEVELFluorescencebaseline correctionRATIO F690/F730Integrating sphereLIGHTPHOTOSYSTEM-IPlant speciesScots pineINDUCED CHLOROPHYLL FLUORESCENCEMINIMIZING MEASUREMENT UNCERTAINTIESREVISED MEASUREMENT METHODOLOGYGeneral Earth and Planetary Sciencesbaseline correction; chlorophyll fluorescence; FluoWat; leaf morphology; lingonberry; photosynthesis; Scots pine; silver birch; sun-induced fluorescence010606 plant biology & botany
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PyDSC: a simple tool to treat differential scanning calorimetry data

2020

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 propriet…

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:540businessAlgorithmPython
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