NDLI: iRFP (near-infrared fluorescent protein) imaging of subcutaneous and deep tissue tumours in mice highlights differences between imaging platforms

Content Provider	Springer Nature : BioMed Central
Author	Hall, C. von Grabowiecki, Y. Pearce, S. P. Dive, C. Bagley, S. Muller, P. A. J.
Abstract	Background In vivo imaging using fluorescence is used in cancer biology for the detection, measurement and monitoring of tumours. This can be achieved with the expression of fluorescent proteins such as iRFP, which emits light at a wavelength less attenuated in biological tissues compared to light emitted by other fluorescent proteins such as GFP or RFP. Imaging platforms capable of detecting fluorescent tumours in small animals have been developed but studies comparing the performance of these platforms are scarce. Results Through access to three platforms from Xenogen, Bruker and Li-Cor, we compared their ability to detect iRFP-expressing subcutaneous tumours as well as tumours localised deeper within the body of female NSG mice. Each platform was paired with proprietary software for image analyse, but the output depends on subjective decisions from the user. To more objectively compare platforms, we developed an ‘in house’ software-based approach which results in lower measured variability between mice. Conclusions Our comparisons showed that all three platforms allowed for reliable detection and monitoring of subcutaneous iRFP tumour growth. The biggest differences between platforms became apparent when imaging deeper tumours with the Li-Cor platform detecting most tumours and showing the highest dynamic range.
Related Links	https://cancerci.biomedcentral.com/counter/pdf/10.1186/s12935-021-01918-8.pdf
Ending Page	15
Page Count	15
Starting Page	1
File Format	HTM / HTML
ISSN	14752867
DOI	10.1186/s12935-021-01918-8
Journal	Cancer Cell International
Issue Number	1
Volume Number	21
Language	English
Publisher	BioMed Central
Publisher Date	2021-05-03
Access Restriction	Open
Subject Keyword	Cancer Research Cell Biology IRFP Imaging Mice Tumours
Content Type	Text
Resource Type	Article
Subject	Cancer Research Genetics Oncology
Journal Impact Factor	5.3/2023
5-Year Journal Impact Factor	5/2023

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