Objective Image Analysis of Astroglial Morphology in Rstudio Following Systemic Activation in Postnatal Development

Objective Image Analysis of Astroglial Morphology in Rstudio Following Systemic Activation in Postnatal Development

Bibliographic Details
Main Author: Blackburn, Jessica Ann
Language:English
Published: The Ohio State University / OhioLINK 2019
Subjects:
Neurosciences
Biomedical Research
Neurodevelopment
Astrocyte
Image Analysis
Machine Learning
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=osu1562941669539076
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-osu15629416695390762021-08-03T07:11:43Z Objective Image Analysis of Astroglial Morphology in Rstudio Following Systemic Activation in Postnatal Development Blackburn, Jessica Ann Neurosciences Biomedical Research Neurodevelopment Astrocyte Image Analysis Machine Learning Important cellular development within the central nervous system (CNS) occurs during the last trimester and postnatal period in humans. Premature birth occurs in 10% of pregnancies in the United States. The infant can be exposed to an insult of pathogens outside the womb and infection may cause a disruption in neuronal differentiation and development during this crucial time period. Changes in CNS development may lead to unwanted synapses in the brain, morphological changes in supportive cells such as astrocytes, and may lead to autism spectrum disorder or epilepsy. We sought to describe the morphological changes astrocytes underwent following an intraperitoneal injection of lipopolysaccharide (LPS), which is known to cause systemic inflammation. Brains from LPS-injected and saline-controls were sectioned and stained with the astrocytic marker GFAP and ALDH1L1, each highlighting the processes and cell body respectively. Using 9-12 images obtained from the hippocampus, retrosplenial cortex, and caudoputamen, we sought to quantify the morphological and textural features as well as pixel fluorescence intensities of astrocytes. We developed a workflow within R to automatically segment GFAP and ALDH1L1 positive objects and extract quantitative features. Next, we used a machine learning algorithm called support vector machines to create a model classifying segmented astrocytes as activated and baseline. We then determined the percent of activated astrocytes per mouse. There is a higher percent of activated GFAP positive astrocytes in the hippocampus and cortex after 3 hours post-injection in comparison to the saline treated control. Microglia morphology and function are closely related and we would like to determine if astrocytic morphology and function are closely related following systemic inflammation. We created an objective method for astrocyte classification based on morphological, textural, and pixel fluorescence intensities and would like to use this modeling to describe the morphological changes astrocytes undergo following different durations of inflammation and developmental time points. 2019 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1562941669539076 http://rave.ohiolink.edu/etdc/view?acc_num=osu1562941669539076 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Neurosciences
Biomedical Research
Neurodevelopment
Astrocyte
Image Analysis
Machine Learning
spellingShingle Neurosciences
Biomedical Research
Neurodevelopment
Astrocyte
Image Analysis
Machine Learning
Blackburn, Jessica Ann
Objective Image Analysis of Astroglial Morphology in Rstudio Following Systemic Activation in Postnatal Development
author Blackburn, Jessica Ann
author_facet Blackburn, Jessica Ann
author_sort Blackburn, Jessica Ann
title Objective Image Analysis of Astroglial Morphology in Rstudio Following Systemic Activation in Postnatal Development
title_short Objective Image Analysis of Astroglial Morphology in Rstudio Following Systemic Activation in Postnatal Development
title_full Objective Image Analysis of Astroglial Morphology in Rstudio Following Systemic Activation in Postnatal Development
title_fullStr Objective Image Analysis of Astroglial Morphology in Rstudio Following Systemic Activation in Postnatal Development
title_full_unstemmed Objective Image Analysis of Astroglial Morphology in Rstudio Following Systemic Activation in Postnatal Development
title_sort objective image analysis of astroglial morphology in rstudio following systemic activation in postnatal development
publisher The Ohio State University / OhioLINK
publishDate 2019
url http://rave.ohiolink.edu/etdc/view?acc_num=osu1562941669539076
work_keys_str_mv AT blackburnjessicaann objectiveimageanalysisofastroglialmorphologyinrstudiofollowingsystemicactivationinpostnataldevelopment
_version_ 1719455841344552960

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