随着英国政府出台有关饮用水中存在隐孢子虫卵囊的法规，并于2000年初生效，计数程序受到了密切关注。这些规定强调了加强计数可追溯性的必要性，以及为外部核查快速传输数据的能力。此外，许多进行常规测试的实验室将面临大量样本进行评估，因此，显微镜操作员可能会感到疲劳。这项研究的目的是使水样的微观评估更加准确，减少因疲劳而产生的误差。 该研究的重点是开发一种用于隐孢子虫卵囊分析的半自动检测系统Quanti Max（TM）（QMS）。QMS系统能够通过PC屏幕使用预先确定的扫描模式和自动聚焦执行20倍扫描。开发该软件是为了能够标记在高放大率（100倍）下审查的假定特征。FITC、DAPI和DIC隐孢子虫卵囊图像自动存储在一个独特的数据文件中。该软件允许远程访问QMS，以便进行外部验证。包括参考，表格。

With the introduction of government regulations in the United Kingdom pertaining to the presence of Cryptosporidium oocysts in drinking water, coming into effect early in the year 2000 the procedure for enumeration has come under close scrutiny. The regulations have highlighted the need for increased traceability of counts, together with the ability to rapidly transfer data for external verification. In addition, many of the laboratories carrying out routine testing will be faced with large numbers of samples to evaluate, and as a consequence, microscope operators may be subject to fatigue. The objective of this research was to make the microscopic evaluation of water samples more accurate and less prone to errors due to fatigue. The research focussed on the development of a semi automated detection system Quanti-Max(TM) (QMS) for Cryptosporidium oocyst analysis. The QMS system has the ability to perform a 20X scan via a PC screen using a pre-determined scan pattern and with auto focussing. The software has been developed to enable the marking of presumptive features which are reviewed at high magnification (100 X). The FITC, DAPI and DIC Cryptosporidium oocyst images are automatically stored in a unique data file. The software enables remote access to the QMS for external verification to be carried out. Includes reference, table.