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Software . 2021
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ZENODO
Software . 2021
License: CC BY
Data sources: Datacite
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License: CC BY
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Quantifizierung und Klassifizierung von Mikrogelen mittels Korrelation von Mikroskopiedaten

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 04 May 2021 German Publisher:Zenodo
Authors: Lafendt, Moritz;

doi: 10.5281/zenodo.4736639 , 10.5281/zenodo.4736640

Quantifizierung und Klassifizierung von Mikrogelen mittels Korrelation von Mikroskopiedaten

Abstract

Der vorliegende Code ist Teil der Masterarbeit „Quantifizierung und Klassifizierung von Mikrogelen mittels Korrelation von Mikroskopiedaten“ von Moritz Lafendt, welche im Zeitraum vom 10.11.2020 bis 04.05.2021 im Arbeitskreis von Prof. Dominik Wöll am Institut für physikalische Chemie der RWTH Aachen University verfasst wurde. In dieser Arbeit wurde eine Methodik zur systematischen und routinebasierten Analyse von Mikrogel-Punktwolkendaten aus Super-Resolution-Fluorescence-Microscopy-Messungen entwickelt. In dieser Analyse werden sieben Kennzahlen (Features) mit physikochemischem Bezug aus den einzelnen Mikrogel-Punktwolken extrahiert.

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Keywords

superaufgelöste Fluoreszenzmikroskopie, Punktdatenanalyse, Feature-Analyse, Mikrogele, Clustering

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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