Abstract: A system for color gamut normalization for pathology slides, the system including at least computing device, wherein the computing device is configured to receive a whole slide image, generate a plurality of segments associated with the whole slide image as a function of one or more biological tissue type variabilities, apply a segment-specific transformation to each segment of the plurality of segments, create a user interface data structure, wherein the user interface data structure includes the plurality of segments and display the plurality of segments through a graphical user interface as a function of the user interface data structure.

Abstract: An apparatus and method for inline scanned image enrichment is provided. The apparatus includes a computing device configured to receive a plurality of subject data, generate a candidate set to model the scan focal points from, digitally capture the slide using the identified focal points through machine-learning processes, processing the captured image to optimize its viewability, and storing the captured image in an accessible repository.

Abstract: A system for color gamut normalization for pathology slide is disclosed. The system includes at least a computing device, wherein the computing device is configured to generate a plurality of segmentations of a whole slide image, wherein the whole slide image includes a plurality of biological tissue type variabilities. The computing device is configured to apply a segment-specific transformation to an individual segment in a first region. The computing device is configured to apply the segment-specific transformation to an individual segment in a second region. The computing device is configured to retrieve a plurality of discrete magnification levels from a user. The computing device is configured to choose as a first magnification level from the plurality of discrete magnification levels, and the computing device is configured to store the plurality of segmentations in a cache.

Abstract: An imaging device for image generation of a specimen is disclosed. Layers of images may be captured by an optical system and then compiled to create an integrated image. Each layer may include a different focal point. A consolidated image may then be created by combining one or more integrated images.

Abstract: A system of digitalizing a slide, comprising at least one imaging device and a computing device communicatively connected to the imaging device, wherein the computing device is configured to scan each slide of a plurality of slides at the imaging device to generate an initial slide image and associated scanning metadata for each slide, determine a quality control metric for each slide as a function of the initial slide image and the associated scanning metadata, wherein determining the quality control metric includes flagging the slide based on the determined quality control metric, generate at least one scanning profile as a function of the scanning metadata based on the quality control metric, and re-scan the flagged slides at the imaging device using the at least one scanning profile.

Abstract: A system for color gamut normalization for pathology slide is disclosed. The system includes at least a computing device, wherein the computing device is configured to generate a plurality of segmentations of a whole slide image, wherein the whole slide image includes a plurality of biological tissue type variabilities. The computing device is configured to apply a segment-specific transformation to an individual segment in a first region. The computing device is configured to apply the segment-specific transformation to an individual segment in a second region. The computing device is configured to retrieve a plurality of discrete magnification levels from a user. The computing device is configured to choose as a first magnification level from the plurality of discrete magnification levels, and the computing device is configured to store the plurality of segmentations in a cache.

Abstract: An apparatus for generating a confidence score associated with a scanned label is disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a profile comprising at least a label containing a plurality of metadata associated with the at least a label. The memory instructs the processor to generate a scanned label as a function of the at least a label, wherein generating a scanned label comprises scanning the at least a label using a text recognition module. The memory instructs the processor to determine a confidence score associated with the at least a label as a function of a comparison between the scanned label and a plurality of historical scanned labels. The memory instructs the processor to display the confidence score using a display device.

Abstract: A Driver State Monitoring System prevents any casualty on the road because of drowsiness while driving. It is an in-vehicle, vision-based electronic system for automobiles. It utilizes a camera installed on the vehicle facing towards the driver. It captures the edge-based face features of the driver. Thereafter, the real time image processor extracts the desired image from the image and estimates the correct position of the eye, the nose and the head orientation of the driver's face based on the predetermined values. The signal generator generates a warning signal when there is any abnormality detected based on the output of the status examination result generated by the real time image processor. These signals can be can be an acoustic signal, a videft signal, a photonic signal or a haptic signal.

Abstract: A Driver State Monitoring System prevents any casualty on the road because of drowsiness while driving. It is an in-vehicle, vision-based electronic system for automobiles. It utilizes a camera installed on the vehicle facing towards the driver. It captures the edge-based face features of the driver. Thereafter, the real time image processor extracts the desired image from the image and estimates the correct position of the eye, the nose and the head orientation of the driver's face based on the predetermined values. The signal generator generates a warning signal when there is any abnormality detected based on the output of the status examination result generated by the real time image processor. These signals can be can be an acoustic signal, a videft signal, a photonic signal or a haptic signal.