Pramana Inc.

Lsi Corporation

Spectral Insights Private Limited

Dipankar Das

Prasanth Perugupalli

Raghubansh Bahadur Gupta

Prateek Jain

Durgaprasad Dodle

Jaya Jain

Shilpa G Krishna

Rohan Prateek

Ajay Chadha

Varun Shetty

Debjit Roy Choudhury

Sumit Nath

Vinothkumar Anbalagan

Suhash Gerald

Bhaskar B N Shetty

Ashank Reddy

Somesh Singh

An automated resolution and sharpness calibration system for target scanning includes an imaging reference located on a scanner's scanning stage and an optical sensor configured to capture reference images before and after scanning a target. The system comprises a processor and a memory with instructions that enable the processor to receive the captured reference images, determine image metrics based on reference features, and detect deviations in these metrics between the images. The processor classifies the detected deviation to identify its cause and generates an alert signal accordingly. This system ensures precise calibration by analyzing deviations in image metrics, thereby maintaining optimal scanning performance and accuracy.

System and method for automated calibration for a scanning system

An apparatus for identifying regions of interest during slide digitization is disclosed. The apparatus includes at least processor and a memory communicatively connected to the processor. The memory contains instructions configuring the processor to receive a user dataset associated with at least a pathology slide. The memory contains instructions configuring the processor to identify one or more regions of interest within at least a pathology slide as a function of the user dataset. The memory contains instructions configuring the processor to identify at least one scan parameter as a function of the one or more regions of interest. The memory contains instructions configuring the processor to generate a digitized slide by scanning the at least a pathology slide as a function the at least one scan parameter.

Apparatus and method for identifying regions of interest during slide digitization

A system for detecting and cleaning contaminants from an imaging optical path, comprising an imaging device configured to receive a slide and capture a first slide image, at least a computing device configured to determine a contaminant presence indicator associated with a contaminant within an optical path of the imaging device based on the first slide image and execute a contaminant cleaning protocol as a function of the contaminant presence indicator, a contaminant removal mechanism configured to remove the contaminant from the optical path according to the contaminant cleaning protocol, wherein the computing device is further configured to re-evaluate the contaminant presence indicator based on a second slide image of the slide captured using the imaging device and request a user input upon a positive re-evaluation of the contaminant presence indicator.

System and methods for detecting and cleaning contaminants from an imaging optical path

A spectral imaging system includes a spectrometer and an optics imaging system. The spectrometer is operable for generating spectral signatures of objects from a scene. The optics imaging system is operable to generate six or more responses from the same scene. Each of the six or more responses represents different spectral content of the objects in the scene. The responses generated by the optics imaging system can be used to generate a hypercube using spectral reconstruction techniques. In an embodiment, the spectral imaging system could be implemented as part of a mobile phone.

Spectral imaging system

An apparatus for providing a data integrity field implementation in a data processing system includes a controller operative to interface between a host device and a destination device in the data processing system for transferring at least one data block therebetween. The data processing system further includes an error detection module associated with the controller. The error detection module is operative to determine a probability of an error occurrence based at least in part on a measured current error rate for the data processing system. The controller is operative to implement an error correction methodology which is selectively adaptable as a function of the probability of an error occurrence.

Data integrity field (DIF) implementation with error detection and intelligent recovery mechanism

Growing community of inventors

Bengaluru, India

Dipankar Das