Pramana, Inc.

An apparatus and method for automatically validating quality data associated with at least a slide. 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, from the at least an optical device, at least a digital slide corresponding to the at least a slide, determine, using metadata, a slide identification, localize, using at least an object detection technique, the at least a digital slide, wherein localizing the at least a digital slide comprises identifying a stained core of interest and aligning the stained core of interest into a standard form, and, evaluate, using a predefined threshold, the stained core of interest, wherein evaluating comprises comparing the stained core of interest to a control core, generating a validation output, and transmitting the validation output to a downstream device.

Described herein is a system for digitizing a slide. A system may include an optical system comprising at least an optical sensor and at least a processor communicatively connected to the optical system, wherein the at least a processor is configured to perform a scan of a slide by capturing at least a first image according to a first scanning parameter, determine, using a localization module, a localization quality metric as a function of the at least a first image, identify, using the localization module and the localization quality metric, at least one region of interest of the slide, determine a second scanning parameter as a function of the localization quality metric, capture, using the optical system, at least a second image of the slide according to the second scanning parameter, and generate a map comprising values associated with locations of the slide comprising a biological sample.

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, wherein the profile includes at least a label and a plurality of digital representations of slides, perform a flip detection process on the profile to verify the orientation of at least slide data of the profile, generate a scanned label as a function of the at least a label, determine a confidence score associated with the scanned label, adjust the confidence score for accuracy, and display the confidence score using a display device.

A system including at least an imaging device and a computing device configured to control the at least an imaging device while pre-scanning the target, receive, from the at least an imaging device, the pre-scan imaging data, detect a position of the fiducial marker within the pre-scan imaging data, input the pre-scan imaging data into a feature-learning neural network, output at least an image feature from the feature-learning neural network as a function of the pre-scan imaging data, wherein the at least a feature represents at least a specimen type, selecting a target profile as a function of the specimen type and the fiducial marker, wherein the target profile includes one or more imaging parameters and adjust, using the target profile, one or more imaging device parameters as a function of the one or more imaging parameters.

A system and method for automated optical deviation detection and correction is disclosed. The system includes a scanner, wherein the scanner includes one or more sensors positioned on the scanner, wherein the one or more sensors includes at least an optical sensor and a force-torque sensor; and a stage configured to hold a slide; at least a processor; and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring processor to: receive sensor data from the one or more sensors, wherein the sensor data includes image data received from the optical sensor and associated with at least a slide and a tactile datum; detect a positional deviation in the image data relative to an alignment baseline; determine whether the positional deviation is within a correction threshold; and initiate a correction procedure associated with the at least a slide.

Aspects of present disclosure relate to real-time image generation. An exemplary apparatus for real time image generation includes at least an optical system, a slide port configured to hold a slide, an actuator mechanism mechanically connected to a mobile element, a user interface comprising an input interface and an output interface, at least processor configured to: using the at least an optical system, capture a first image of the slide at a first position, modify the first image, using the output interface, display the first image to a user, using the input interface, receive a parameter set from the user.

Aspects of present disclosure relate to real-time image generation. An exemplary apparatus for real time image generation includes at least an optical system, a slide port configured to hold a slide, an actuator mechanism mechanically connected to a mobile element, a user interface comprising an input interface and an output interface, at least a processor configured to: using the at least an optical system, capture a first image of the slide at a first position, modify the first image, using the output interface, display the first image to a user, using the input interface, receive a parameter set from the user.

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, wherein the profile includes at least a label and a plurality of digital representations of slides, perform a flip detection process on the profile to verify the orientation of at least slide data of the profile, generate a scanned label as a function of the at least a label, determine a confidence score associated with the scanned label, adjust the confidence score for accuracy, and display the confidence score using a display device.

Described herein is a system for digitizing a slide. A system may include an optical system including at least an optical sensor; and a computing device configured to perform a scan of the slide by capturing at least a first image and capturing at least a second image, wherein performing the scan includes identifying a first scanning parameter; using the optical system, capturing the at least a first image as a function of the first scanning parameter; determining a first quality metric as a function of the at least a first image; determining a second scanning parameter as a function of the first quality metric; and using the optical system, capturing the at least a second image as a function of the second scanning parameter.

An apparatus and method for adaptive slide imaging using a selected scanning profile is disclosed. The apparatus includes a scanner configured to capture a macro image of a slide and including a stage configured to hold the slide, an optical sensor configured to convert an image into one or more electrical signals, and an optical system configured to form the image of the slide on the optical sensor. The apparatus includes at least a processor and a memory containing instructions configuring the at least a processor to receive the macro image of the slide from the scanner, extract metadata from the macro image of the slide, determine a classification category of the slide, retrieve a scanning profile as a function of the classification category of the slide, and image, using the optical system and optical sensor of the scanner, the slide as a function of the scanning profile.