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Alexander Bläßle

dblp:160/3275 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 81% Computational science and engineering · 19%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › bioimage informatics › bioimage analysis › microscopy image analysis
fluorescence microscopy		 0.212015
PyFDAP: automated analysis of fluorescence decay after photoconversion (FDAP) experiments · Bioinform. 2015
Computational science and engineering › numerical analysis
curve fitting		 0.112015
PyFDAP: automated analysis of fluorescence decay after photoconversion (FDAP) experiments · Bioinform. 2015
Bioinformatics and computational biology › bioimage informatics › bioimage analysis
microscopy image analysis		 0.112015
PyFDAP: automated analysis of fluorescence decay after photoconversion (FDAP) experiments · Bioinform. 2015

Methods — techniques the papers use, named apart from their topics

linear and non-linear regression · 0.2
YearPublicationVenuePosition
2015 PyFDAP: automated analysis of fluorescence decay after photoconversion (FDAP) experiments
abstract
Abstract Summary: We developed the graphical user interface PyFDAP for the fitting of linear and non-linear decay functions to data from fluorescence decay after photoconversion (FDAP) experiments. PyFDAP structures and analyses large FDAP datasets and features multiple fitting and plotting options. Availability and implementation: PyFDAP was written in Python and runs on Ubuntu Linux, Mac OS X and Microsoft Windows operating systems. The software, a user guide and a test FDAP dataset are freely available for download from http://people.tuebingen.mpg.de/mueller-lab. Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.
Alexander Bläßle
 Bioinform.1