Biotag provides a patented RFID-based system for storing, identifying, and locating biological samples, particularly histological specimens. The technology minimizes human error and accelerates sample retrieval times, improving research outcomes for biological laboratories and hospital departments. Its solution integrates radio-frequency identification with sample workflow management to enhance traceability and operational efficiency.
- Content & Publishing
- Hardware
- Healthcare Technology
- Internet of Things
- Software Only
Funding
Founders
Product
Problem
Biological laboratories and hospital departments face significant challenges in managing, identifying, and locating stored biological samples, particularly histological specimens. Manual tracking methods are prone to human error and slow down sample retrieval, which can compromise research results and delay clinical workflows.
Solution
Biotag offers a patented system that uses RFID (Radio Frequency Identification) technology for the storage, identification, and localization of biological samples. The solution minimizes the probability of human error and accelerates the time needed to recover specific samples, improving the research outcomes of biological laboratories and departments that adopt it. By embedding RFID tags into sample containers and integrating them with tracking infrastructure, Biotag enables real-time sample visibility and automated inventory management. The system is designed to streamline the entire sample lifecycle, from intake to storage to retrieval, without disrupting existing laboratory workflows.
Target Audience
Primary customers are biological research laboratories, hospital pathology departments, and clinical facilities that store and manage histological or other biological samples and require reliable, efficient sample tracking and retrieval.
Features
- Patented RFID-based system for biological sample storage, identification, and localization
- Real-time tracking of histological and other biological samples throughout their lifecycle
- Automated sample identification that reduces reliance on manual label reading and data entry
- Fast sample retrieval capabilities that shorten turnaround times in laboratory and clinical settings
- Integration with existing laboratory infrastructure and sample management workflows
- Technology developed through expertise in radio-frequency systems, antenna design, and electronic localization