A biologist’s guide to planning and performing quantitative bioimaging experiments

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Rebecca A. Senft - , Broad Institute of Harvard University and MIT (Autor:in)
  • Barbara Diaz-Rohrer - , Broad Institute of Harvard University and MIT (Autor:in)
  • Pina Colarusso - , University of Calgary (Autor:in)
  • Lucy Swift - , University of Calgary (Autor:in)
  • Nasim Jamali - , Broad Institute of Harvard University and MIT (Autor:in)
  • Helena Jambor - , Universitäts KrebsCentrum Dresden (Autor:in)
  • Thomas Pengo - , University of Minnesota System (Autor:in)
  • Craig Brideau - , University of Calgary (Autor:in)
  • Paula Montero Llopis - , Harvard University (Autor:in)
  • Virginie Uhlmann - , European Molecular Biology Laboratory (EMBL) Heidelberg (Autor:in)
  • Jason Kirk - , Baylor College of Medicine (Autor:in)
  • Kevin Andrew Gonzales - , Rockefeller University (Autor:in)
  • Peter Bankhead - , University of Edinburgh (Autor:in)
  • Edward L. Evans - , University of Wisconsin-Madison (Autor:in)
  • Kevin W. Eliceiri - , University of Wisconsin-Madison (Autor:in)
  • Beth A. Cimini - , Broad Institute of Harvard University and MIT (Autor:in)

Abstract

Technological advancements in biology and microscopy have empowered a transition from bioimaging as an observational method to a quantitative one. However, as biologists are adopting quantitative bioimaging and these experiments become more complex, researchers need additional expertise to carry out this work in a rigorous and reproducible manner. This Essay provides a navigational guide for experimental biologists to aid understanding of quantitative bioimaging from sample preparation through to image acquisition, image analysis, and data interpretation. We discuss the interconnectedness of these steps, and for each, we provide general recommendations, key questions to consider, and links to high-quality open-access resources for further learning. This synthesis of information will empower biologists to plan and execute rigorous quantitative bioimaging experiments efficiently.

Details

OriginalspracheEnglisch
Aufsatznummere3002167
Seitenumfang22
FachzeitschriftPLoS biology
Jahrgang21 (2023)
Ausgabenummer6
PublikationsstatusVeröffentlicht - 27 Juni 2023
Peer-Review-StatusJa

Externe IDs

PubMed 37368874