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This study was based on tissue phantoms and Monte Carlo simulations to characterize spatial signal distributions for CES and CREL.
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In conclusion, based on tissue-phantom studies, we have validated that the combination of DCA with L1-regularization can offer significant improvement in depth localization and spatial resolution for DOT images.
Tissue features related to elastic scattering and blood absorption have been extracted from label-free localized reflectance measurements, using no training information nor empirical models, although further contrast of this aim needs to be proven based on tissue simulating phantoms of known optical properties.
Limitation based on tissue consent.
Limitation based on tissue rarity.
We then demonstrate MPDI on tissue phantoms made of live bacterial or mammalian cells.
(1), (2), and (9) can be applied to experimental data on tissue phantoms.
Reflectance measurements, performed on tissue phantoms, using the full wavelength range and the fabricated optical filters provided comparable results.
Two distinct techniques, multiphoton deactivation and imaging (MPDI) and multiphoton activation and imaging (MPAI), are demonstrated on tissue phantoms labeled with Dronpa protein.
The variation as a function of weight, sex, and position was assessed separately by scaling the three phantoms in the range of our subjects (47 110 kg; head tissues were based on nonscaled phantoms) and by rotating the phantoms ± 25° around their axis.
Although such targets have the advantage of accurately representing the target material to be imaged, producing useful color phantoms based on stained tissue is difficult due to the significant variation between stained slides.
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