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IA-Lab: A MATLAB framework for efficient microscopy image analysis development, applied to quantifying intracellular transport of internalized peptide-drug conjugate.
Corrigan, Adam M; Karlsson, Johan; Wildenhain, Jan; Knerr, Laurent; Ölwegård-Halvarsson, Maria; Karlsson, Maria; Lünse, Svenja; Wang, Yinhai.
Afiliación
  • Corrigan AM; Discovery Sciences, R&D, AstraZeneca, Cambridge, United Kingdom.
  • Karlsson J; Discovery Sciences, R&D, AstraZeneca, Gothenburg, Sweden.
  • Wildenhain J; Discovery Sciences, R&D, AstraZeneca, Cambridge, United Kingdom.
  • Knerr L; Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
  • Ölwegård-Halvarsson M; Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
  • Karlsson M; Research and Early Development, Respiratory, Inflammation and Autoimmune, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
  • Lünse S; Discovery Sciences, R&D, AstraZeneca, Gothenburg, Sweden.
  • Wang Y; Discovery Sciences, R&D, AstraZeneca, Cambridge, United Kingdom.
PLoS One ; 14(8): e0220627, 2019.
Article en En | MEDLINE | ID: mdl-31369634
This work presents a MATLAB-based software package for high-throughput microscopy image analysis development, making such development more accessible for a large user community. The toolbox provides a GUI and a number of analysis workflows, and can serve as a general framework designed to allow for easy extension. For a new application, only a minor part of the object-oriented code needs to be replaced by new components, making development efficient. This makes it possible to quickly develop solutions for analysis not available in existing tools. We show its use in making a tool for quantifying intracellular transport of internalized peptide-drug conjugates. The code is freely available as open source on GitHub (https://github.com/amcorrigan/ia-lab).
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Péptidos / Procesamiento de Imagen Asistido por Computador / Terapia Molecular Dirigida Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Péptidos / Procesamiento de Imagen Asistido por Computador / Terapia Molecular Dirigida Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos