Hyperspectral chemical imaging reveals spatially varied degradation of polycarbonate urethane (PCU) biomaterials
نویسندگان
چکیده
منابع مشابه
Chemical Plume Detection for Hyperspectral Imaging
This paper details various aspects of the detection and identification of chemical plumes in long wave infrared (LWIR) data. The lack of well defined edges and the dynamic nature of a gas cloud leads to challenges in detection, particularly when the cloud diffuses and becomes thin. Contemporary graph segmentation algorithms are investigated to track the movement of the gaseous cloud as it sprea...
متن کاملChemical Plume Detection for Hyperspectral Imaging
This paper details various aspects of the detection and identification of chemical plumes in long wave infrared (LWIR) data. The lack of well defined edges and the dynamic nature of a gas cloud leads to challenges in detection, particularly when the cloud diffuses and becomes thin. Contemporary graph segmentation algorithms are investigated to track the movement of the gaseous cloud as it sprea...
متن کاملDigital compressive chemical quantitation and hyperspectral imaging.
Digital compressive detection, implemented using optimized binary (OB) filters, is shown to greatly increase the speed at which Raman spectroscopy can be used to quantify the composition of liquid mixtures and to chemically image mixed solid powders. We further demonstrate that OB filters can be produced using multivariate curve resolution (MCR) to pre-process mixture training spectra, thus fac...
متن کاملChemical detection on surfaces by hyperspectral imaging
We have developed a method for using hyperspectral (HS) data to identify and locate chemical materials on arbitrary surfaces using the materials’ reflection or emission spectra that makes no prior modeling assumptions about the presence of pure pixels or the statistics of the background clutter and sensor noise. To our knowledge, this is the first time that surface detection without dependence ...
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ژورنال
عنوان ژورنال: Acta Biomaterialia
سال: 2018
ISSN: 1742-7061
DOI: 10.1016/j.actbio.2018.03.045