Canon CR-2 AF Retinal Camera features the latest in Canon retinal imaging technology and enhancements in a compact and light weight design.
The Canon CR-2 AF Digital Retinal Camera is designed to help you consistently capture and analyze truly superb images—quickly, efficiently, and automatically.
Designed around the legendary Canon EOS optics and advanced CMOS image capture technology, the CR-2 AF provides a remarkable set of features specifically designed to capture, enhance, and analyze even the
most subtle fundus abnormalities.
DEDICATED DIGITAL CAMERA
The CR-2 AF incorporates Canon EOS technology to provide optimal images under just about any condition.
With Auto Exposure, Image Error Detection, Quick Preview, and Low-Flash Intensity, the CR-2 AF delivers ultra-high-resolution images. Each stunning, 20.2-megapixel image has extraordinary detail, contrast, and color fidelity.
Affords increased image clarity by emphasizing the differences in “redness” and “brightness” of blood vessel structures relative to their surroundings.
AUTO-FOCUS WITH MANUAL ALIGNMENT OVERRIDE
User can automatically focus the eye by partially depressing the Joystick, or easily switch to manual focus with a twist of the focus ring.
Automatically switches from the external eye to retinal observation mode when the eye is properly aligned.
Automatically measures the volume of infrared light at the retina and adjusts the flash intensity and captures the image once the eye is properly focused.
IMAGE ERROR DETECTION
Advanced software automatically confirms both correct alignment and focus.
Low flash increases patient comfort and reduces miosis for a shorter exam time. The CR-2 AF supports a wide range of low ISO speeds, including ISO 200/400/800/1600/3200/6400.
The CR-2 AF Digital Retinal Camera produces ultra-high resolution, 20.2-megapixel, wide-angle views with excellent
color, detail, and contrast. To further enhance your retinal exam capabilities, the CR-2 AF has a full set of blue, green, red, red-free, and cobalt digital processing modes to extract more in-depth information from each image.