The ocular diseases rising from vascular endothelial growth factors (VEGF) is rising on an alarming rate. Mostly the complex retinal disorders are resulted from overexpression of VEGF. Common ocular complications such as age related macular edema (AMD) (over 196 million), diabetic retinopathy (DR) (over 103.12 million) and retinal vein occlusion can result to permanent vision loss if not treated early. Early treatment of such complications is inhibiting the VEGF signaling cascade via anti-VEGF therapy.

 This study investigates two unavoidable noise factors: electronic noise (EN) and radiation scattering, associated with detectors and their electronics. This study proposes a novel methodology to estimate electronic and scattering noise separately. It utilizes mathematical tools, namely, Kanpur theorem-1 (KT-1), standard deviation, similarity dice coefficient parameters, and experimental computerized tomography technique. Four types of gamma detectors: CsI (Tl), LaBr3(Ce), NaI (Tl) and HPGe are used with their respective electronics.

The scintillator detectors are recalibrated against the datasheet given by the manufacturer. Optimal and mutual dependent values of (a) high voltage at PMT (Photomultiplier Tube), (b) amplifier gain, (c) average time to count the radiation particles (set by operator), and (d) number of instances/sample number are estimated. Total 5: two versions of Central Limit Theorem (CLT), (3) industry preferred Pulse Width Saturation, (4) calibration based on MPPC coupled Gamma-ray detector, and (5) gross method are used.

Once the operational life of electronics component is over, it becomes part of electronic waste (e-waste). Afterwards, it is either dumped in landills or recycled for metallic constituents. Landills, in long run, are proven hazardous. Recycling approach also leaves a signiicant energy footprint on environment. This article presents a brief insight into the harmful impacts of the e-waste. Primary aim of this work is to justify the importance of adjusting new technology according to the conventional one so that the working components from the obsolete technology can be utilized optimally.

A 3D WUCT system using a single ultrasound transducer is designed and automated. The dataset consist of the WUCT reconstruction results dataset used to train U-Net based semantic segmentation model.  Also, dataset i) to study the effect of increase in the number of virtual transducer on reconstruction quality and, ii) effect of variation in the applied pulse width on the reconstruction are provided. The U-Net based semantic segmentation model is trained and used to evaluate dice coefficient corresponding to the phantom’s actual profile and reconstructed profile.