Picodya is a developer of IVD (in vitro diagnostics) technology for multiple patients in parallel with quick results processing and delivery within minutes at the point of care.

“Our industry is characterized by complexity, innovation, and a need for specialized knowledge and expertise across multiple fields. Through our partnership with RTC, we were able to tap into a pool of highly skilled professionals with expertise in Image Processing, Computer Vision, and AI. Throughout the project’s lifecycle, RTC demonstrated a thorough understanding of our business needs, objectives, and timelines, and their communication was consistently transparent and effective. The innovative and creative ideas proposed by RTC were instrumental in driving the product forward.

Following the excellent experience with RTC, we have decided to extend and deepen the technological collaboration and establish a strategic collaboration.”

Yehuda Yavets Chen, Founder and President

The Challenge

To develop complex algorithms enabling optical system calibration, image segmentation, object detection, and classification to optimize the Picodya imaging system’s function and its B-Matrix image content.

The Solution

Combining our computer vision capabilities, machine Learning proficiency, and system-level experience with Picodya’s engineering expertise, we co-developed an on-site calibration procedure that enables inter-device repeatability and periodical testing. Our machine learning classification module was designed to distinguish between different bio-markers concentration levels and account for image source instability, high-dynamic-range scenes, optical aberrations, and photon count estimation. We designed specialized optimization cost functions for detection, registration, and feature extraction modules in cases where biological markers outliers appear in the image. In addition, numerical optimization procedures built into the system account for location uncertainty, orientation instability, and intensity variability.