A method and system for performing characterization of one or more materials
Опубликовано: 24-06-2021
Автор(ы): Kris BROOS, Mieke Quaghebeur, Roeland GEURTS
Принадлежит: VITO NV
Реферат: A method and system for performing characterization of one or more materials. One or more materials are scanned by means of a sensory system including an X-ray sensor configured to perform multi-energy imaging for obtaining at least a lower-energy X-ray image and a higher-energy X-ray image. Images obtained by means of the sensory system are segmented, and for each segmented object, data indicative of an area density and data indicative of an atom number by analysis of the lower-energy X-ray image and the higher-energy X-ray image, and data indicative of the area density and atom number is determined by means of a calibrated model. Data indicative of a mass is calculated based on the data indicative of the area density and the data indicative of the area of each of the segmented objects. The data indicative of the atom number is provided as input to a trained neural network, wherein the trained neural network is configured to label each segmented object, and wherein the data indicative of the mass is coupled to each of the labeled segmented objects.
Method and apparatus for training a neural network classifier to classify an image depicting one or more objects of a biological sample
Номер патента: US12051253B2. Автор: Adam Morell,Martin Almers,Kent Stråhlén. Владелец: CELLAVISION AB. Дата публикации: 2024-07-30.