eLife, 2018-07, Vol.7
2018
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Details
- Autor(en) / Beteiligte
- Titel
- Removing physiological motion from intravital and clinical functional imaging data
- Ist Teil von
- eLife, 2018-07, Vol.7
- Ort / Verlag
- England: eLife Sciences Publications, Ltd
- Erscheinungsjahr
- 2018
- Quelle
- MEDLINE
- Beschreibungen/Notizen
- Intravital microscopy can provide unique insights into the function of biological processes in a native context. However, physiological motion caused by peristalsis, respiration and the heartbeat can present a significant challenge, particularly for functional readouts such as fluorescence lifetime imaging (FLIM), which require longer acquisition times to obtain a quantitative readout. Here, we present and benchmark , a versatile multi-platform software tool for image-based correction of sample motion blurring in both time resolved and conventional laser scanning fluorescence microscopy data in two and three dimensions. We show that is able to resolve intravital FLIM-FRET images of intra-abdominal organs in murine models and NADH autofluorescence of human dermal tissue imaging subject to a wide range of physiological motions. Thus, can enable FLIM imaging in situations where a stable imaging platform is not always possible and rescue previously discarded quantitative imaging data.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 2050-084XeISSN: 2050-084XDOI: 10.7554/elife.35800Titel-ID: cdi_doaj_primary_oai_doaj_org_article_b19ab0cf001841f7a2cef5cafceef00f
- Format
- –
- Schlagworte
- Algorithms, Animals, Biosensing Techniques, Cell Adhesion, Cell Biology, Computational and Systems Biology, Computer Simulation, FLIM, Fluorescence Resonance Energy Transfer, FRET, Guanosine Triphosphate - metabolism, Humans, Imaging, Three-Dimensional, Intestines - physiology, Intravital Microscopy, Mice, Microscopy, Fluorescence, Models, Biological, Motion, motion correction, multiphoton, Neoplasm Metastasis, Neuropeptides - metabolism, Pancreatic Neoplasms - pathology, rac1 GTP-Binding Protein - metabolism, Skin - anatomy & histology, Software, src-Family Kinases - metabolism, Tools and Resources