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Annelotte M. Vonk

dblp:290/0204 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · unresolved

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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 · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
high-content screening
0.512021
An open-source high-content analysis workflow for CFTR function measurements using the forskolin-induced swelling assay · Bioinform. 2021

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

statistical analysis · 0.5image quantification · 0.5forskolin-induced swelling assay · 0.5
YearPublicationVenuePosition
2021 An open-source high-content analysis workflow for CFTR function measurements using the forskolin-induced swelling assay
abstract
MOTIVATION: The forskolin-induced swelling (FIS) assay has become the preferential assay to predict the efficacy of approved and investigational CFTR-modulating drugs for individuals with cystic fibrosis (CF). Currently, no standardized quantification method of FIS data exists thereby hampering inter-laboratory reproducibility. RESULTS: We developed a complete open-source workflow for standardized high-content analysis of CFTR function measurements in intestinal organoids using raw microscopy images as input. The workflow includes tools for (i) file and metadata handling; (ii) image quantification and (iii) statistical analysis. Our workflow reproduced results generated by published proprietary analysis protocols and enables standardized CFTR function measurements in CF organoids. AVAILABILITY AND IMPLEMENTATION: All workflow components are open-source and freely available: the htmrenamer R package for file handling https://github.com/hmbotelho/htmrenamer; CellProfiler and ImageJ analysis scripts/pipelines https://github.com/hmbotelho/FIS_image_analysis; the Organoid Analyst application for statistical analysis https://github.com/hmbotelho/organoid_analyst; detailed usage instructions and a demonstration dataset https://github.com/hmbotelho/FIS_analysis. Distributed under GPL v3.0. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Marne C. Hagemeijer, Annelotte M. Vonk, Nikhil T. Awatade, Iris A. L. Silva, Christian Tischer 0001, Volker Hilsenstein, Jeffrey M. Beekman, Margarida D. Amaral, Hugo M. Botelho
Bioinform.2