Joachim A, Dülmer N, Daugschies A
Institut für Parasitologie, Tierärztliche Hochschule Hannover, Germany.
Parasitol Int. 1999 Mar;48(1):63-71. doi: 10.1016/s1383-5769(99)00003-3.
A method was developed to differentiate between fourth-stage larvae (L4) of two species of porcine nodular worms, Oesophagostomum dentatum and O. quadrispinulatum, by computer-assisted analysis of digitised microphotographs of L4 grown in vitro for various time periods and of L4 ex vivo. The overall lengths of the larvae and the lengths of the oesophagus as well as parameters describing the shape of the oesophagus and buccal capsule were measured and a formula based on these parameters was developed that could differentiate between the two species on the basis of the morphometric data. It was demonstrated that morphometry can produce unbiased data which can be employed for the calculation of indices suitable for the differentiation of morphologically different specimens. Computer-based techniques facilitate the processing of the complex data and offer the option for automation of measurements for routine applications.
开发了一种方法，通过计算机辅助分析体外培养不同时间段的第四期幼虫（L4）以及离体L4的数字化显微照片，来区分两种猪结节虫，即有齿食道口线虫和四棘食道口线虫。测量了幼虫的总长度、食道长度以及描述食道和口囊形状的参数，并基于这些参数开发了一个公式，该公式可根据形态测量数据区分这两个物种。结果表明，形态测量可以产生无偏差的数据，这些数据可用于计算适合区分形态不同标本的指标。基于计算机的技术便于处理复杂数据，并为常规应用的测量自动化提供了选择。
