Any digital camera has an entity called the Dynamic Range, which is referred to the distance between the whitest white and the blackest black. This gray level is likewise applied to colors. When a camera sensor provides its image data to the Image Signal Processor of the camera, it is crucial for image processing algorithms to drive the sensor in a way that splits the dynamic range across the area in, where the required clinical data is present. Therefore it is crucial for microscope upgrades to capture the exact biologist’s observation of colors by adjusting the right point for the true white in real time.

Human visual understanding of luminescence and brightness encounters the value of pupil diameter along with retinal rod receptors and neuro-pulsation efficiency of brain. Otherwise, the biologist may be dealing with some extent of cataract that makes it hard to understand their luminous and brightness understanding. In digital imaging though, sensors quantum efficiency and optical elements including the adjustment lens and aperture play crucial roles in image brightness. However as long as Falcon Ray digital systems considers biologists only tool to adjust the brightness to be their light source intensity tool, real time imaging algorithms are applied to image capture, in order to synchronize the digitized amplitude of data and dynamic range to cover all possible observations as an average human vision.

Microscopes play a crucial role in day to day patho-biological practices. Stereo vision is a human factor that gives us the understanding of depth perception as with other hunter species known to ecology. Once however digital imaging is employed, a 2D image is reconstructed that would not synthesize a 3D vision as the human brain does. It is therefore important to make such an impression throughout the reconstructed image by the correct equation of aperture and focal length adjustment to reach the correct focus depth for biologic applications with respect to the magnification of operation. New solutions use polarized 3D Vision that may result visual data elimination.