RFID Based Tracking System for Ultra-Low Temperature Sample Repositories

描述（申请人提供）：存档的生物样本数量非常大，而且还在不断增长。由于不充分的标记技术、无法自动定位样品以及物理样品和存档软件之间缺乏可靠的连接，维护这些样品的大量收集充满了困难。我们建议开发一种系统，以电子方式跟踪保存在低温下的大量样品。一个唯一编号的射频识别（RFID）标签将与每个样品相关联。这个射频识别标签的位置将被一个集成在冰箱里的电子设备自动获取。冷冻室将向计算机网络报告其内容。电子设备和标签本身将在生物样本存储的典型低温下工作。这样一个系统将大大有助于各种机构维持其样品库的能力，因为它减少了人为错误，拥有关于特定样品位置的实时信息，并跟踪人员对每个样品的访问情况。

DESCRIPTION (provided by applicant): The number of archived biological samples is very large and ever growing. Maintaining large collections of these samples is fraught with difficulties arising from inadequate labeling technologies, the inability to automatically locate the samples and a lack of robust connection between the physical sample and archiving software. We propose to develop a system to electronically track large collections of samples kept at low temperatures. A unique numbered Radio Frequency IDentification (RFID) tag will be associated with each sample. The location of this RFID tag will be automatically accessible to a electronics incorporated into the freezer. The freezer will report its contents to a computer network. The electronics and tags themselves will operate at the low temperatures typical of biological sample storage. Such a system will contribute greatly to the ability of institutions of all kinds to maintain their sample banks by reducing human error, having real-time information about a particular sample's location and by tracking each sample's access by personnel. PUBLIC HEALTH RELEVANCE: The number of archived biological samples is very large and ever growing. Maintaining large collections of these samples is fraught with difficulties arising from inadequate labeling technologies, the inability to automatically locate the samples and a lack of robust connection between the physical sample and archiving software. We propose to develop a system to electronically track large collections of samples kept at low temperatures. Such a system will contribute greatly to the ability of institutions of all kinds to maintain their sample banks by reducing human error, having real-time information about a particular sample's location and by tracking each sample's access by personnel.