Molecular Imaging in Oncology: Advanced Microscopy Techniques.


Journal

Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer
ISSN: 0080-0015
Titre abrégé: Recent Results Cancer Res
Pays: Germany
ID NLM: 0044671

Informations de publication

Date de publication:
2020
Historique:
entrez: 29 6 2020
pubmed: 1 7 2020
medline: 29 9 2020
Statut: ppublish

Résumé

Preclinical studies usually require high levels of morphological, functional, and biochemical information at subcellular resolution. This type of information cannot be obtained from clinical imaging techniques, such as MRI, PET/CT, or US. Luckily, many microscopy techniques exist that can offer this information, also for malignant tissues and therapeutic approaches. In this overview, we discuss the various advanced optical microscopy techniques and their applications in oncological research. After a short introduction in Sect. 16.1, we continue in Sect. 16.2 with a discussion on fluorescent labelling strategies, followed in Sect. 16.3 by an in-depth description of confocal, light-sheet, two-photon, and super-resolution microscopy. We end in Sect. 16.4 with a focus on the applications, specifically in oncology.

Identifiants

pubmed: 32594398
doi: 10.1007/978-3-030-42618-7_16
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

533-561

Auteurs

Dimitrios Kapsokalyvas (D)

School for Oncology and Developmental Biology GROW and School for Cardiovascular Diseases CARIM, Maastricht University, Maastricht, The Netherlands.
Institut für Molekulare Kreislaufforschung, Universitätsklinikum Aachen, Aachen, Germany.

Marc A M J van Zandvoort (MAMJ)

School for Oncology and Developmental Biology GROW and School for Cardiovascular Diseases CARIM, Maastricht University, Maastricht, The Netherlands. mamj.vanzandvoort@maastrichtuniversity.nl.
Institut für Molekulare Kreislaufforschung, Universitätsklinikum Aachen, Aachen, Germany. mamj.vanzandvoort@maastrichtuniversity.nl.

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Classifications MeSH