In situ cold and hot microscopic analysis system

In situ cold and hot microscopic analysis systemFeatures:

Highly integrated platform: Based on the CH600S-XY/CH400SV-XY series platform, it seamlessly integrates high-precision cold and hot stages, microscopy imaging systems (including high-resolution adaptive biomedicine (such as drug crystallization observation), food science (such as component phase transition analysis), geology (such as high-temperature behavior research of inclusions) and other cutting-edge research fields, providing powerful and universal in-situ analysis tools for the study of material temperature behavior in different fields. The use of rate microscopes, CCDs, and vacuum control systems eliminates the complexity of independent operation of multiple devices, significantly improving experimental efficiency and data consistency.

Intelligent closed-loop control: Equipped with the independently developed GoGoVIEW software platform, it achieves precise synchronous triggering of temperature control and imaging, and constructs a full process closed-loop control system of "hardware control data acquisition image analysis", greatly improving the level of experimental automation and result reliability, and reserving expansion interfaces to support flexible functional expansion to meet future customized needs.

Widely applicable across disciplines: adapted to cutting-edge research fields such as biomedicine (such as drug crystallization observation), food science (such as component phase transition analysis), geology (such as high-temperature behavior research of inclusions), etc., providing powerful and universal in-situ analysis tools for the study of material temperature behavior in different fields.

Application Scenario:

Friendly interface design: distinguish between experimenters/samples, preset control programs, one click experiments, reduce operations.

Multi field coupling collaboration: Real time synchronization of experimental results such as temperature, image, and vacuum degree, achieving accurate correlation analysis of multi-source data on a unified timeline.

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