This product adopts a high-strength titanium alloy body with stable high-precision performance, suitable for the harsh environment of scientific research laboratories. It is equipped with an 8K UHD high-definition imaging module and laser scanning stereoscopic algorithm, which can achieve sub-micron 3D modeling accuracy, and supports up to 120fps high-speed imaging to capture the dynamic changes of microscopic samples in real time. It is equipped with a temperature control module, which can maintain a stable environment for the sample and avoid temperature changes affecting the observation results. It supports PCIe high-speed data transmission, which can quickly export high-precision 3D model data, and is compatible with professional scientific research software such as ImageJ and MATLAB, solving the pain points of low imaging accuracy and slow speed of traditional research microscopes, providing researchers with high-precision microscopic observation and modeling tools.
The body dimensions are 450mm(L)*300mm(W)*250mm(H), and the total weight is 3.2kg. The magnification range is 500-2000X continuously adjustable, with an imaging resolution of 7680*4320 8K UHD and a maximum imaging frame rate of 120fps. The field of view ranges from 0.5mm to 10mm. It is equipped with a laser scanning system and adjustable ring LED light source, supports PCIe 4.0 and USB3.1 Gen2 interfaces, and has a built-in temperature control module with a temperature control accuracy of ±0.1℃. It is compatible with Windows 10+ professional scientific research software, supports 3D model reconstruction, data export and remote control functions, and is powered by a 100-240V AC dedicated adapter.
It is suitable for materials science microscopic structure research, nanomaterial performance analysis, in vivo biological sample dynamic observation, semiconductor chip defect inspection, polymer material morphology analysis and other scientific research scenarios. It can be paired with a high-performance computer to realize high-precision 3D modeling and data analysis, suitable for university scientific research laboratories, national research institutes and high-end technology enterprise R&D departments.
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