Automated characterisation of microglia in ageing mice using image processing and supervised machine learning algorithms
Soyoung Choi,Daniel Hill,Li Guo,Richard Nicholas,Dimitrios Papadopoulos,M Francesca Cordeiro +5 more
TLDR
In this paper , a machine learning approach was developed to facilitate automatic classification of images of retinal microglial cells as one of five morphotypes, using a support vector machine (SVM).Abstract:
The resident macrophages of the central nervous system, microglia, are becoming increasingly implicated as active participants in neuropathology and ageing. Their diverse and changeable morphology is tightly linked with functions they perform, enabling assessment of their activity through image analysis. To better understand the contributions of microglia in health, senescence, and disease, it is necessary to measure morphology with both speed and reliability. A machine learning approach was developed to facilitate automatic classification of images of retinal microglial cells as one of five morphotypes, using a support vector machine (SVM). The area under the receiver operating characteristic curve for this SVM was between 0.99 and 1, indicating strong performance. The densities of the different microglial morphologies were automatically assessed (using the SVM) within wholemount retinal images. Retinas used in the study were sourced from 28 healthy C57/BL6 mice split over three age points (2, 6, and 28-months). The prevalence of 'activated' microglial morphology was significantly higher at 6- and 28-months compared to 2-months (p < .05 and p < .01 respectively), and 'rod' significantly higher at 6-months than 28-months (p < 0.01). The results of the present study propose a robust cell classification SVM, and further evidence of the dynamic role microglia play in ageing. read more
Citations
More filters
Journal ArticleDOI
Activity of a Novel Anti-Inflammatory Agent F-3,6′-dithiopomalidomide as a Treatment for Traumatic Brain Injury
Shih Chang Hsueh,Michael T. Scerba,David Tweedie,Daniele Lecca,Dong Seok Kim,Abdul Mannan Baig,Yu Kyung Kim,I Hwang,Sun Kim,Warren R. Selman,Barry J. Hoffer,Nigel H. Greig +11 more
TL;DR: F-3,6′-DP represents a novel class of thalidomide-like drugs that do not lower classical cereblon-associated transcription factors but retain anti-inflammatory actions and possess efficacy in the treatment of TBI and potentially longer-term neurodegenerative disorders.
Journal ArticleDOI
Daytime Light Deficiency Leads to Sex- and Brain Region-Specific Neuroinflammatory Responses in a Diurnal Rodent
TL;DR: It is revealed that winter-like dim light during the day leads to indicators of increased neuroinflammation in a brain site- and sex-specific manner, and could play a role in sex differences in the prevalence and symptoms of psychiatric or neurological disorders that are influenced by season or other environmental light conditions.
Book ChapterDOI
MorphoMacro for in vivo and ex vivo quantitative morphometric analysis of microglia.
TL;DR: The MorphoMacro method as discussed by the authors quantitatively profiles multiple and single microglia cells using the available ImageJ platform, which can be used to identify, stratify, and monitor diverse micro-glia morphologies in homeostatic, different disease conditions and subsequent therapeutic monitoring.
Journal ArticleDOI
A comparison of machine learning approaches for the quantification of microglial cells in the brain of mice, rats and non-human primates
Danish Anwer,Francesco Gubinelli,L. Sarauskyte,Chiara Venuti,Ivette M. Sandoval,Yiyi Yang,Jennifer A. Stancati,Martina Mazzocchi,Edoardo Brandi,Gerard W. O'Keeffe,Kathy Steece-Collier,Jia-yi Li,Tomas Deierborg,Fredric P. Manfredsson,Marcus Davidsson,Andreas Heuer +15 more
TL;DR: In this article , a machine learning-based approach for the fast and automatized quantification of microglial cells was compared with manual quantification (ground truth), and with alternative free-ware such as the threshold-based ImageJ and the machine learning based Ilastik.
Journal ArticleDOI
Innovations advancing our understanding of microglia in Alzheimer's disease: From in vitro to in vivo models
Simon Maksour,Lezanne Ooi +1 more
TL;DR: In this paper , a review summarizes the recent innovations that have advanced our understanding of microglia in Alzheimer's disease, through the use of single-cell RNA sequencing, human pluripotent stem cell (hPSC)-derived micro-glia culture within brain organoids and xenotransplantation into mouse brain.
References
More filters
Journal ArticleDOI
Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness
Michiru Nishita,Seung-Yeol Park,Tadashi Nishio,Koki Kamizaki,ZhiChao Wang,Kota Tamada,Toru Takumi,Ryuju Hashimoto,Hiroki Otani,Gregory J. Pazour,Victor W. Hsu,Yasuhiro Minami +11 more
TL;DR: It is found that intraflagellar transport 20 mediates the ability of Ror2 signaling to induce the invasiveness of tumors that lack primary cilia, and IFT20 regulates the nucleation of Golgi-derived microtubules by affecting the GM130-AKAP450 complex.
Journal ArticleDOI
Re-epithelialization and immune cell behaviour in an ex vivo human skin model.
TL;DR: A novel wound model based on application of negative pressure and its effects for epidermal regeneration and immune cell behaviour is presented, which recapitulates the main features of epithelial wound regeneration, and can be applied for testing wound healing therapies and investigating underlying mechanisms.
Journal ArticleDOI
Review: Activation patterns of microglia and their identification in the human brain
TL;DR: The question as to what extent different activation states of microglia exist in the human central nervous system is discussed, which tools can be used to identify them and emerging evidence for such changes in ageing and in Alzheimer's disease is discussed.
Journal ArticleDOI
Retinal microglia: Just bystander or target for therapy?
TL;DR: It is concluded that this resident immune cell of the retina cannot be simply regarded as bystander of disease but may instead be a potential therapeutic target to be modulated in the treatment of degenerative and inflammatory diseases ofThe retina.
Journal ArticleDOI
A quantitative spatiotemporal analysis of microglia morphology during ischemic stroke and reperfusion
TL;DR: Quantitative analysis reveals a significant spatiotemporal relationship between microglia morphology and evolving cerebral injury in the ipsilateral hemisphere after IS and reperfusion and illustrates that microglian activation after stroke includes both increased and decreased cell ramification.