In-Vitro Diagnostic Testing
Improve accuracy, reduce errors and increase speed with customized machine vision, RFID and barcode solutions.
JADAK is leading the way in transforming in-vitro diagnostics (IVD) with custom machine vision, RFID and barcode solutions that are providing clinicians and patients with faster and more accurate results, the ability to conduct customized tests simultaneously and more efficiently record clinical data.
Solving complex in-vitro diagnostics and lab automation challenges for the world’s top medical device OEMs.
For obvious reasons, human error and IVD don’t mix. Most of the pre-analytical errors that occur—from point of care sample-taking through lab testing—are completely preventable. By integrating deep learning and workflow automation from the hospital setting to clinical labs, we can provide precise imaging data to support the IVD process continuum, not just for analytical processing with machine vision, but also for clinician identification and reagent/kit tracking with barcode and RFID technologies.
More and more clinical laboratories and medical device OEMs are relying on JADAK for custom, highly optimized solutions specific to their applications. Unlike off-the-shelf smart cameras, RFID and barcode solutions that are often overweight with functionality and can slow performance, JADAK-engineered solutions have resulted in increased throughput, improved accuracy, secure access and quality of processing at a lower price point, all while improving time to market.
Pre-analytical and Analytical Testing
Automate your lab processes using machine vision.
Learn More
Consumable Tracking and Chain of Custody
Automate testing operations from the hospital to the lab.
Learn More
Clinical Identification
Maximize patient privacy and data security while reducing staff time.
Learn More
Allegro IVD Smart Camera Series
Customizable intelligence. On-board processors, FPGAs, and simplified integration.
Learn More
Secure-Access Handheld Barcode and RFID Scanner
Security, traceability, peace of mind.
Learn More
ThingMagic Gemini
This low-cost, ultra-low-power, MIFARE and NFC reader/writer module is the most versatile HF RFID module at this price point.
Learn More
ThingMagic M1-Mini Shielded HF Embedded RFID Module
The smallest self-contained, multi-protocol embedded HF RFID reader on the market today, it’s designed to enable any device with RFID reader technology.
Learn More
ThingMagic M2
The industry’s most secure multi-protocol embedded HF RFID reader module is designed specifically for encrypted authentication.
Learn More
FM-5 and FM-6 Fixed Mount Barcode/Machine Vision Series
A variety of general purpose barcode scanning devices for use in all phases of the IVD process including sample reading, reagent tracking, consumable barcode reading and ID badge reading.
Learn More
VIBE® Fixed Mount Machine Vision Camera
A fixed mount scanner engineering specifically to reduce overall size of Point of Care IVD devices.
Learn More
ThingMagic® M6e Nano (UHF) RAIN RFID
JADAK’s smallest embeddable module, with ultra-low power consumption, and tiny form factor, this RFID reader is ideal for battery operated, low-cost, small form factor portable devices.
Learn More
WHITE PAPER: How RFID and machine vision are improving in-vitro diagnostic (IVD) testing
Due to the nature of clinical testing, there are many tedious and labor-intensive steps that can benefit from laboratory automation.
GET ACCESS
Video
Allegro IVD Smart Camera and Clarity™ Software Demonstration Part 1: Test Tube Classification
Improve accuracy and efficiency in in-vitro diagnostic testing. Test tube cap classification.
GET ACCESS
Article
ARTICLE: Custom Deep Learning Enables Automated Pre-sorting in In-Vitro Diagnostic Testing
Deep Learning (DL), a subset of ML, offers powerful features to enhance accuracy for image classification during the critical pre-sort phase in IVD systems, solutions which can combine with classic CV approaches to overcome and future-proof against many of the traditional CV challenges that have held back sample testing throughput.
GET ACCESS