Key result
An image analysis method correcting for spectral overlap enabled the separation of six fluorescent labels, with only 2.3% of microspheres undetected in high-density simulations with background.
Answers are grounded in this paper and cite their sources.
The proposed image analysis method successfully corrects for spectral overlap and transparency, allowing the detection of up to 6 fluorescent labels in imaging cryomicrotome studies of regional myocardial perfusion.
Due to spectral overlap, the number of fluorescent labels for imaging cryomicrotome detection was limited to 4. The aim of this study was to increase the separation of fluorescent labels. In the new imaging cryomicrotome, the sample is cut in slices of 40 microm. Six images are taken for each cutting plane. Correction for spectral overlap is based on linear combinations of fluorescent images. Locations of microspheres are determined by using the system point spread function. Five differently colored microspheres were injected in vivo distributed over two major coronaries, the left anterior descending and left circumflex artery. Under absence of collateral flow, microspheres outside of target perfusion territories were not found and the procedure did not generate false positive detection when spectral overlap was relevant. In silico-generated microspheres were used to test the effect of background image, transparency correction, and color separation. The percentage of microspheres undetected was 2.3 +/- 0.8% in the presence and 1.5 +/- 0.4% in the absence of background structures with a density of 900 microspheres per color per cm(3). The image analysis method presented here, allows for an increased number of experimental conditions that can be investigated in studies of regional myocardial perfusion.
No takes yet. Share an insight, caveat, or question.
Horssen et al. (2010) studied Myocardial perfusion imaging (n=3). Image processing method for spectral overlap correction was evaluated on Percentage of undetected microspheres in the presence of background structures (high density). An image analysis method correcting for spectral overlap enabled the separation of six fluorescent labels, with only 2.3% of microspheres undetected in high-density simulations with background.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: