Back

Investigation of astrocytes' morphological changes in response to laser-induced shockwave

Pouladian, P.; Ho, J.; Perez, N.; Wakida, N. M.; Gomez Godinez, V.; Preece, D.

2023-11-30 bioengineering
10.1101/2023.11.29.569124 bioRxiv
Show abstract

Traumatic Brain Injury (TBI) arises from an external force affecting the brain, leading to a range of outcomes from mild to severe. Despite continuous scientific advancements, it continues to pose a persistent threat and remains a significant cause of physical impairment and mortality. Various models, including blast-induced TBI (bTBI), have been proposed to simulate TBI. Laser-induced shockwaves (LIS) us emerging as an effective method. LIS generates shockwaves via pulsed laser-induced plasma formation, offering a controlled means to study TBI at the cellular level. Astrocytes, pivotal in maintaining brain function post-injury, undergo dynamic morphological changes, contributing to the understanding of injury responses and neurodegenerative diseases. This study introduces a system combining Laser-Induced Shockwaves (LIS) and Quantitative Phase Microscopy (QPM) to quantify morphological changes in astrocytes during and after LIS exposure. QPM, a label-free method, facilitates 3D imaging and captures real-time cellular dynamics. The integration of LIS and QPM enables the assessment of astrocyte responses to shear stress caused by LIS, revealing immediate and sustained morphological transformations. Analysis post-LIS exposure indicates significant alterations in circularity, volume, surface area, and other features. Statistical tests affirm of observed trends, providing insights into astrocyte responses to mechanical forces. The findings contribute to understanding how mechanical stimuli impact astrocyte morphology, holding promise for targeted therapeutic strategies in traumatic brain injuries and related neurological disorders. The integrated LIS and QPM approach serves as a powerful tool for 3D imaging and quantitative measurement of astrocyte morphological changes, offering deeper insights into cellular dynamics and potential therapeutic interventions.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 2%
14.9%
2
Journal of Biophotonics
16 papers in training set
Top 0.1%
14.9%
3
Biomedical Optics Express
84 papers in training set
Top 0.1%
10.6%
4
Journal of Biomedical Optics
25 papers in training set
Top 0.1%
10.3%
50% of probability mass above
5
PLOS ONE
4510 papers in training set
Top 27%
6.5%
6
Advanced Science
249 papers in training set
Top 7%
2.6%
7
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 1%
1.8%
8
Frontiers in Physics
20 papers in training set
Top 0.3%
1.7%
9
Bioengineering
24 papers in training set
Top 0.4%
1.7%
10
Physics in Medicine & Biology
17 papers in training set
Top 0.2%
1.7%
11
Neurophotonics
37 papers in training set
Top 0.3%
1.5%
12
Advanced Biology
29 papers in training set
Top 0.5%
1.4%
13
Nano Letters
63 papers in training set
Top 2%
1.1%
14
Optics Letters
13 papers in training set
Top 0.2%
1.1%
15
Photoacoustics
11 papers in training set
Top 0.3%
0.9%
16
Annals of Biomedical Engineering
34 papers in training set
Top 1%
0.8%
17
Optics Express
23 papers in training set
Top 0.5%
0.7%
18
Ultrasound in Medicine & Biology
10 papers in training set
Top 0.7%
0.7%
19
Bioengineering & Translational Medicine
21 papers in training set
Top 1%
0.7%
20
iScience
1063 papers in training set
Top 37%
0.7%
21
Journal of Neurotrauma
27 papers in training set
Top 0.7%
0.7%
22
ACS Omega
90 papers in training set
Top 5%
0.5%
23
Small Methods
26 papers in training set
Top 1%
0.5%
24
Brain Stimulation
112 papers in training set
Top 2%
0.5%
25
Computers in Biology and Medicine
120 papers in training set
Top 6%
0.5%
26
Brain Sciences
52 papers in training set
Top 3%
0.5%
27
Nanoscale Advances
13 papers in training set
Top 0.7%
0.5%