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量化染色方法如何影响神经元形态测量结果的偏差

Quantifying How Staining Methods Bias Measurements of Neuron Morphologies.

作者信息

Farhoodi Roozbeh, Lansdell Benjamin James, Kording Konrad Paul

机构信息

Department of Mathematics, Sharif University of Technology, Tehran, Iran.

Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States.

出版信息

Front Neuroinform. 2019 May 21;13:36. doi: 10.3389/fninf.2019.00036. eCollection 2019.

Abstract

The process through which neurons are labeled is a key methodological choice in measuring neuron morphology. However, little is known about how this choice may bias measurements. To quantify this bias we compare the extracted morphology of neurons collected from the same rodent species, experimental condition, gender distribution, age distribution, brain region and putative cell type, but obtained with 19 distinct staining methods. We found strong biases on measured features of morphology. These were largest in features related to the coverage of the dendritic tree (e.g., the total dendritic tree length). Understanding measurement biases is crucial for interpreting morphological data.

摘要

标记神经元的过程是测量神经元形态学中的一个关键方法选择。然而,对于这种选择如何可能使测量产生偏差,人们知之甚少。为了量化这种偏差,我们比较了从相同啮齿动物物种、实验条件、性别分布、年龄分布、脑区和假定细胞类型收集的神经元的提取形态,但这些神经元是用19种不同的染色方法获得的。我们发现形态测量特征存在强烈偏差。这些偏差在与树突树覆盖范围相关的特征(例如,树突树总长度)中最为明显。理解测量偏差对于解释形态学数据至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11eb/6541099/5906ff9caa67/fninf-13-00036-g0001.jpg

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