Polarized microscope quotation

Create high-quality digital lithofacies analysis data through transmitted and reflected light in a reliable and reproducible manner.thisSpecially designed for lithology analysis, combined with speedquickThe electric polarization acquisition mode and a diverse software ecosystem that integrates visualization, analysis, and collaboration. The combination of fully automated collection and our company's quality ensures consistently high image quality even when processing hundreds or thousands of samples. Electric single polarization and orthogonal polarization can analyze multi-color and birefringence, while circular polarization can quickly evaluate birefringence characteristics without being affected by grain orientation. In software ecosystems, data can be seamlessly integrated into complex digital analysis workflows, allowing for visualization and querying of complex multi-channel polarized data in an easy-to-use and intuitive environment; It is possible to identify phases based on powerful machine learning, Measurements can be taken on classified images to quantitatively measure mineral information, grain size, and mineral distribution.

Digital lithofacies analysis microscope: visualizing complex digital lithofacies data

Managing multi-channel images that make up large-scale lithofacies thin section scans requires specialized visualization solutions. Use a brand new oneThis method allows for intuitive browsing of rich datasets, surpassing standard petrographic analysis microscopes. Each complete version is available, allowing you to choose which observation method to display (bright field, single polarization, orthogonal polarization, circular polarization, and fluorescence), and to move synchronously among the available polarization angles. It even automatically synchronizes image rotation, allowing the sample to match what is displayed in traditional lithological analysis optical microscopesthe first mock examinationSimilarly, promoting the learning process in laboratory and online teaching environments, creating an immersive lithological experience.

Geological teaching and research require collaboration. Through blended learning, remote access to teaching materials is possible, which enhances traditional teaching methods and makes it easier to fully absorb complex ideas. For distributed research teams or asset teams, the ability to interact with data through digital interfaces is essential in order to seamlessly distribute and access data at all times. Download data directly from this online portal to enjoyRenWhat kind of rich features can the version provide.

Image analysis

The traditional method of extracting quantitative information from optical microscope datasets (i.e. point counting method) is extremely time-consuming and limits the extractable data to simple modal mineral analysis and structural qualitative analysis.Future IntegrationExcellent machine learning techniques can directly classify minerals from optical microscope images. Integrate the trained model into an automatic image analysis program to automatically measure and report the size of minerals, pores, and grains. Once the model is trained, it can be applied to multiple samples of similar types or batches. This allows for quantitative evaluation of the distribution changes of minerals and structures in the sample, such as through a series of extended core slices or cross-sectional slices of the field of view.