Quantifying How Staining Methods Bias Measurements of Neuron Morphologies

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...

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Main Authors: Roozbeh Farhoodi, Benjamin James Lansdell, Konrad Paul Kording
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Neuroinformatics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2019.00036/full
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spelling doaj-bdad49626267482799f3de57fb7dbe362020-11-25T00:01:31ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962019-05-011310.3389/fninf.2019.00036422626Quantifying How Staining Methods Bias Measurements of Neuron MorphologiesRoozbeh Farhoodi0Benjamin James Lansdell1Konrad Paul Kording2Konrad Paul Kording3Department of Mathematics, Sharif University of Technology, Tehran, IranDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, United StatesDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, United StatesDepartment of Neuroscience, University of Pennsylvania, Philadelphia, PA, United StatesThe 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.https://www.frontiersin.org/article/10.3389/fninf.2019.00036/fulldendritic morphologystaining methodrodent neuroanatomyneuroinformaticsgolgi methodimmunostaining
collection DOAJ
language English
format Article
sources DOAJ
author Roozbeh Farhoodi
Benjamin James Lansdell
Konrad Paul Kording
Konrad Paul Kording
spellingShingle Roozbeh Farhoodi
Benjamin James Lansdell
Konrad Paul Kording
Konrad Paul Kording
Quantifying How Staining Methods Bias Measurements of Neuron Morphologies
Frontiers in Neuroinformatics
dendritic morphology
staining method
rodent neuroanatomy
neuroinformatics
golgi method
immunostaining
author_facet Roozbeh Farhoodi
Benjamin James Lansdell
Konrad Paul Kording
Konrad Paul Kording
author_sort Roozbeh Farhoodi
title Quantifying How Staining Methods Bias Measurements of Neuron Morphologies
title_short Quantifying How Staining Methods Bias Measurements of Neuron Morphologies
title_full Quantifying How Staining Methods Bias Measurements of Neuron Morphologies
title_fullStr Quantifying How Staining Methods Bias Measurements of Neuron Morphologies
title_full_unstemmed Quantifying How Staining Methods Bias Measurements of Neuron Morphologies
title_sort quantifying how staining methods bias measurements of neuron morphologies
publisher Frontiers Media S.A.
series Frontiers in Neuroinformatics
issn 1662-5196
publishDate 2019-05-01
description 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.
topic dendritic morphology
staining method
rodent neuroanatomy
neuroinformatics
golgi method
immunostaining
url https://www.frontiersin.org/article/10.3389/fninf.2019.00036/full
work_keys_str_mv AT roozbehfarhoodi quantifyinghowstainingmethodsbiasmeasurementsofneuronmorphologies
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AT konradpaulkording quantifyinghowstainingmethodsbiasmeasurementsofneuronmorphologies
AT konradpaulkording quantifyinghowstainingmethodsbiasmeasurementsofneuronmorphologies
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