Antoni Pazgier
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Antoni Pazgier has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Bodhi Tran
Bethesda Chevy Chase High School, Bethesda, MD 20815, USA
1 shared publication - Jennifer Qiu
Department of Biology, University of Maryland, College Park, MD 20742, USA
1 shared publication - Joaquin Torres
Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA 15260, USA
1 shared publication - Kwang-Wook Choi
Department of Biological Sciences, Korea Advanced Institute of Science & Technology, Daejeon, Republic of Korea
1 shared publication - Luke L. Sumberg
Uniformed Services University of the Health Sciences
1 shared publication - Martin Boese
Daniel K. Inouye Graduate School of Nursing, Uniformed Services University, Bethesda, MD 20814, USA
1 shared publication
Latest Publications
- Open Access
- 22 August 2025
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 26 (17) , 8149
A Semi-Automated and Unbiased Microglia Morphology Analysis Following Mild Traumatic Brain Injury in Rats
Mild traumatic brain injury (mTBI) affects over 40 million people every year. One of its features includes the activation of microglia, the resident immune cells of the brain. Microglia assume different morphological states depending on their level of activation, such as surveilling ramified and activated hypertrophic, ameboid, and rod-like microglia. These states can be distinguished by multiple features, including the shape, span, and branching of microglia. Male Sprague–Dawley rats sustained mTBI using the Closed-Head Impact Model of Engineered Rotational Acceleration (CHIMERA) (3 times, 1.5 J per impact) or sham treatment. Four days after the injury, brains were collected and stained for microglia using the ionized calcium-binding adapter molecule-1 (Iba-1) antibody. Cortical injury sites were identified in a subset of CHIMERA animals. Using the MicrogliaMorphology ImageJ plugin and the MicrogliaMorphologyR package, 27 morphological features were quantified from individual microglia, and k-means clustering was used to classify microglia as ramified, rod-like, ameboid, and hypertrophic states. The CHIMERA injury altered microglia morphology features, which contributed to increased hypertrophic (activated) and decreased ramified (inactive) microglia compared to the sham controls. Combined with the clinically relevant mTBI paradigm and semi-automated/unbiased approach, the current findings may contribute to microglia morphology classification.
- 22 August 2025
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 26 (17) , 8149
Open AccessA Semi-Automated and Unbiased Microglia Morphology Analysis Following Mild Traumatic Brain Injury in Rats
Mild traumatic brain injury (mTBI) affects over 40 million people every year. One of its features includes the activation of microglia, the resident immune cells of the brain. Microglia assume different morphological states depending on their level of activation, such as surveilling ramified and activated hypertrophic, ameboid, and rod-like microglia. These states can be distinguished by multiple features, including the shape, span, and branching of microglia. Male Sprague–Dawley rats sustained mTBI using the Closed-Head Impact Model of Engineered Rotational Acceleration (CHIMERA) (3 times, 1.5 J per impact) or sham treatment. Four days after the injury, brains were collected and stained for microglia using the ionized calcium-binding adapter molecule-1 (Iba-1) antibody. Cortical injury sites were identified in a subset of CHIMERA animals. Using the MicrogliaMorphology ImageJ plugin and the MicrogliaMorphologyR package, 27 morphological features were quantified from individual microglia, and k-means clustering was used to classify microglia as ramified, rod-like, ameboid, and hypertrophic states. The CHIMERA injury altered microglia morphology features, which contributed to increased hypertrophic (activated) and decreased ramified (inactive) microglia compared to the sham controls. Combined with the clinically relevant mTBI paradigm and semi-automated/unbiased approach, the current findings may contribute to microglia morphology classification.