Syseye RetiCam 3100 Plus Ultra Wide-Field Fundus Camera

SGD 0.00

The Syseye RetiCam 3100 Plus is an ultra wide-field non-mydriatic fundus camera designed to deliver fast, high-quality retinal imaging with minimal operator intervention. Its one-key operation workflow automatically performs binocular image capture, pupil detection, focusing, alignment, exposure adjustment, and working distance optimization to streamline examinations and improve clinical efficiency.

Featuring a 176° ultra wide-field single-image capture angle and high-definition true-color imaging, the system provides comprehensive retinal visualization for accurate diagnosis and documentation. Advanced soft exposure technology helps reduce pupil constriction and improve patient comfort, while the AI intelligent positioning system enables rapid fundus localization and faster image acquisition.

The integrated image analysis software includes image enhancement tools, lesion assessment capabilities, and cup-to-disc ratio analysis, supporting efficient screening and disease monitoring workflows.

The Syseye RetiCam 3100 Plus is an ultra wide-field non-mydriatic fundus camera designed to deliver fast, high-quality retinal imaging with minimal operator intervention. Its one-key operation workflow automatically performs binocular image capture, pupil detection, focusing, alignment, exposure adjustment, and working distance optimization to streamline examinations and improve clinical efficiency.

Featuring a 176° ultra wide-field single-image capture angle and high-definition true-color imaging, the system provides comprehensive retinal visualization for accurate diagnosis and documentation. Advanced soft exposure technology helps reduce pupil constriction and improve patient comfort, while the AI intelligent positioning system enables rapid fundus localization and faster image acquisition.

The integrated image analysis software includes image enhancement tools, lesion assessment capabilities, and cup-to-disc ratio analysis, supporting efficient screening and disease monitoring workflows.

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