Custom Deep Learning Enables Automated Presorting in In Vitro Diagnostic Testing

Deep Learning, a subset of Machine Learning, offers powerful features to enhance accuracy for image classification during the critical presorting phase in automated in vitro diagnostic testing systems. Deep Learning can overcome and future-proof against many traditional Computer Vision challenges that have held back sample testing throughput.  

Key Takeaways: 

• Deep Learning enhances the accuracy of automated laboratory test results by eliminating inefficiencies caused by human error.
• Partnering with engineers who are domain experts in AI for pre-analytical and analytical phases of the medical laboratory process, like those at JADAK, can easily help teams overcome adoption hurdles.
• The Allegro IVD Smart Cameras with customizable FPGA are an intelligent solution for OEMs who need to accelerate machine vision tasks in their designs.

Request Free!