ArticleMolecular imaging and biology2011
Quantitation in bioluminescence imaging by correction of tissue absorption for experimental oncology.
Article in Molecular imaging and biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- QuantitativeNeurophotonics · 2019Article
- In Vivo Bioluminescence Tomography for Monitoring Breast Tumor Growth and Metastatic Spreading: Comparative Study and Mathematical Modeling.Scientific reports · 2016Article
- Bioluminescence-Based Tumor Quantification Method for Monitoring Tumor Progression and Treatment Effects in Mouse Lymphoma Models.Journal of visualized experiments : JoVE · 2016Article
- A review of novel optical imaging strategies of the stroke pathology and stem cell therapy in stroke.Frontiers in cellular neuroscience · 2014Review
- Article
- In vivo optical imaging and dynamic contrast methods for biomedical research.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2011Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeWe have developed a method of quantitation for correcting tissue absorption in in vivo bioluminescence imaging (BLI). PROCEDURES: Variations of luciferin emission spectrum were determined and were related to photon absorption to determine a correction curve. This was validated by combining BLI with tomoscintigraphy and tomodensitometry, which were applied to a lymphoma model.
resultsTissue absorption affects luciferin emission spectrum, mainly for wavelengths less than 620 nm. So, we have selected two filters bordering 620 nm to quantify spectral modifications. A significant correlation was obtained between the spectral analysis and the percentage of transmitted light through tissues (R(2) = 0.97). On a disseminated tumour model, we have shown that such a methodology is of great interest to compare bioluminescent signals and to get more accurate quantitative data about tumour proliferation.
conclusionsSpectral analysis allows improved quantitation of BLI and could be of value to perform pharmacological studies and to follow tumour progression in models with tumours evolving in different locations.
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Registered trials
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