WebMar 1, 2024 · DigiM I2S [ 2] is a cloud software platform that integrates the management, quantification, and simulation of microscopy data. Its web-browser interface connects to the user's microscopy data via either a B2C cloud storage link (Google Drive, Dropbox, etc.) or an upload from the user's local computer disk. WebJul 14, 2024 · The DigiM™ I2S software was used to accurately correct these imaging artifacts. The result of these corrections is shown in Fig. 6. These corrections were essential to the reliability of image segmentation, and subsequently to the accuracy of any further quantification and modeling.
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WebDigiM I2S manages the 3D XRM data, meta data, derived data, analysis workflow, computational resources, and data storage. Via an easy to use browser interface, the user can visualize the data in 3D, plot size distributions, spatial distribution uniformity, shape histogram, and ACF using a unified environment. WebJul 1, 2024 · The image management, image segmentation, and quantitative image analysis were performed using a cloud-based image management software DigiM I2S™ (DigiM Solution, Burlington, MA). 26 XRM and FIB-SEM transformed implant rod samples into digital representation via many images. Microstructure information were stored in these … tanoak truck
DigiM imaging services - Expertise in sample preparation and …
WebThe company’s solution platform is based on correlative, high-resolution three-dimensional imaging, artificial intelligence image analysis, and cloud image-based modeling to visualize, quantify, and predict properties from microstructure features. DigiM develops and markets I2S, a cloud-based image processing and image data management software. WebA cloud-based platform such as DigiM I2S can mitigate the challenges associated with managing and analyzing large image data. ... I2S utilizes machine and deep learning segmentation for complex ... WebThrough cloud-based DigiM I2S software, the complete life cycle of the imaging data is taken care of. Selection, Preparation, and Imaging Sample representativeness is strongly dependent on specific applications. Due to increasing microstructure heterogeneity in modern science, it is almost impossible to claim that one sampling strategy can fit all. batas format