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 clinician 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 clinicians 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.

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 Slitlamp upgrades to capture the exact clinician’s observation of colors by adjusting the right point for the true white in real time.

Once capturing the image or a frameset, the camera sensor could be driven in a way to enhance vision for what human eye is naked to. This could be imaging within the NIR frequency band as well as special image manipulations to reveal or project specific defects for ophthalmologists to be extracted from the camera raw data. This gives the physician a wider choice to illustrate any clinical disorders than the time a captured image or framset is processed. Sensor raw data is very much wider to navigate through than images with headers that could be only available for post processing options.

Retinal imaging has been so far possible via flashing the patient with high energies or the adoption of SLO. In both situations either some critical frames or clinical data is sacrificed. However with enhancement of quantum efficiency and advanced digital imaging algorithms it is possible to acquire the true range of clinical data without flashing the patient and capturing framesets of 24Fps with reasonable resolutions such as 2MP, utilized by low light amplitudes around 1 lux to eliminate patient’s agitation.

Thus retinal imaging encounters a diversity of excitation and barrier filters to limit the acquired data to a specific clinical defect or retinal layer, white balancing and color leveling algorithms are not supposed to work as usual. Meanwhile the dynamic range is being spread across the range of clinical data, it must maintain to capture the frequency bands received as it could be observed by human eye to be the same with what ophthalmologists observe among the surgery. This involves more advanced real time image processing algorithms to impact the way that Image Signal Processor drives the sensor and navigate throughout its obtained data.

Retinal imaging encounters a wide range of clinical data from different layers of Retina to Choroid. it is therefore difficult for a specific application to acquire data from multiple defects simultaneously through a limited golden time, such as the early stages of fluorescein angiography. It is likewise crucial for retinal images to illustrate what the surgeon is going to observe at the operation theater. Advanced image processing algorithms and new sensor drive methods by the ISP make such demands possible.

As with Slitlamp microscopy, Retinal imaging consists of navigation through patient’s ocular system to the deep end layer of Choroid. Therefore high frequency cold light sources would obtain much of a better data, with respect to patient co-operation and syncronity of digital imaging systems with light pulsations and amplitude. The visual data quality would be likewise enhanced by higher data with lower luminance among with the least of patient agitation and enhancement of sensor drive algorithms.

Light flickers caused by low frequency oscillations have reported to lead to lack of visual data quality and would cause asthenopic disorder for ophthalmologists. Myopia could be the other risk factor for ophthalmologist to be affected while trying to identify clinical defects among 50 or 60 Hertz of flicker noise. This is reported to be the reason of rapid movements of ciliary muscles and iris to reconstruct a focused image across the human visual system.

Light flickers also cause patient agitations that result a lower quality in the ergonomics of Slitlamp clinical reviews.

Regardless of flicker liability, according to the Root Mean Square Value, low frequency power sources could be less efficient in visual data quality. Therefore high frequency power sources, would deliver more clinical data to the doctor with a same voltage rating, whichmeans reduction in dose.

LEDs on the other hand are those semiconductors that could be coated with specific material to relatively emit a specified range of wavelengths, in accordance with Slitlamp microscopy requirements. As long as these sources would be free from the UV radiation and emit a small amplitude of IR photons, they could be considered as Cold light sources with no harm and hazard to ocular tissue.

Thus the LEDs work with high frequency power supplies, doctors would enjoy the advantages of flicker-less clinical reviews that eliminate asthenopic issues to involve doctors’ cognitive system. Cold sources would likewise bring a more comfortable clinical review for both patients and ophthalmologists that results to increased value and quality of clinical data. Regardless of diagnostic privileges, operational ergonomics could be the other enhanced factor by the described sources of light. This could be so sensible in hostile cases including the removal of surgical sutures.

Despite Infrared spectrum is naked to human eye, digital cameras are able to pick NIR signals and turn them into diagnostic images. Hence the tiny IR amount of such Cold Light Sources could be even more beneficial, when the Slitlamp is upgraded by a digital camera in diagnosing a variety of ophthalmic disorders such as the Mhibomian Glands Dysfunctioning.