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显微密度测定中的误差。

Errors in microdensitometry.

作者信息

Goldstein D J

出版信息

Histochem J. 1981 Mar;13(2):251-67. doi: 10.1007/BF01006883.

DOI:10.1007/BF01006883
PMID:6166593
Abstract

Microdensitometric errors can originate in the instrument, in the specimen or in the human operator. Instrumental sources of systematic error mostly reduce the apparent integrated absorbance, especially of relatively small and highly absorbing objects. They can be assessed, minimized or eliminated by available techniques, but with modern apparatus are in general important only if results of high accuracy are required. Instrument errors include: (a) distributional error, due to the use of too large a measuring spot or the specimen being out of focus; (b) glare (stray light), due mainly to multiple reflections in the microscope objective; (c) monochromator error (the use of insufficiently pure light); (d) calibration errors; and (e) errors resulting from lack of photometric linearity, or the specimen absorbance exceeding the measuring range of the instrument. Specimen errors, including the problems of specificity and stoichiometry, are now the most important obstacles to a wider use of microdensitometry. The following selected topics are briefly discussed: fading; rate of staining; Beer's law deviations and the microdensitometry of opaque particles. Human errors include faulty logic, and failing to attempt an investigation because of anticipated difficulties which are in fact exaggerated or imaginary. The significance of microdensitometric results should, in general, be assessed by biological criteria rather than merely statistically; the use is urged of appropriate internal biological controls and standards wherever possible.

摘要

显微密度测定误差可能源于仪器、标本或操作人员。系统误差的仪器来源大多会降低表观积分吸光度,尤其是对于相对较小且高吸收性的物体。可以通过现有技术对其进行评估、最小化或消除,但对于现代仪器来说,通常只有在需要高精度结果时才重要。仪器误差包括:(a) 分布误差,这是由于测量光斑过大或标本失焦所致;(b) 眩光(杂散光),主要是由于显微镜物镜中的多次反射引起;(c) 单色仪误差(使用的光纯度不足);(d) 校准误差;以及 (e) 由于光度线性不足或标本吸光度超出仪器测量范围而产生的误差。标本误差,包括特异性和化学计量问题,现在是更广泛应用显微密度测定法的最重要障碍。以下选定的主题将简要讨论:褪色;染色速率;比尔定律偏差以及不透明颗粒的显微密度测定。人为误差包括逻辑错误,以及由于预期困难(而这些困难实际上被夸大或想象出来)而未能尝试进行调查。一般来说,显微密度测定结果的意义应以生物学标准而非仅仅通过统计学来评估;建议尽可能使用适当的内部生物学对照和标准。

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