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DOI 10.1117/1.jbo.31.1.016004

Медицинская библиотека · Journal of biomedical optics · 2026

Longitudinal three-photon imaging for tracking amyloid plaques and vascular degeneration in a mouse model of Alzheimer's disease.

Stas Eline, Yang Mengke, Schultz Simon, Go Mary Ann

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Аннотация

SIGNIFICANCE: Vascular abnormalities may contribute to amyloid-beta accumulation and neurotoxicity in Alzheimer's disease (AD). Monitoring vascular degeneration as AD progresses is essential. Three-photon fluorescence microscopy enables high-resolution deep tissue imaging with minimal invasiveness and photodamage.

AIM: In this proof-of-concept study, we established a longitudinal 3P imaging pipeline to quantify vascular and amyloid plaque changes in the APP NL - G - F mouse model.

APPROACH: A cranial window allowed repeated 3P imaging at 4-week intervals beginning at 5 weeks after surgery. Vessels labeled with Texas-Red were segmented using DeepVess, whereas plaques labeled with methoxy-XO4 were segmented using custom scripts. Quantitative analyses assessed vascular parameters (diameter, tortuosity, length, inter-vessel distance, total volume) and plaque metrics (radius, total volume).

RESULTS

We imaged the same field over 4 weeks, quantifying an overall decrease in vasculature and an increase in amyloid plaques between two sessions. Significant changes in vessel diameter, inter-vessel distance, and alterations in vessel length and plaque radius were observed. Changes in vessel tortuosity were not significant.

CONCLUSIONS

We demonstrate the potential of three-photon imaging to track vascular and amyloid-related changes in deep cortical structures. It offers a tool for studying the interplay between vascular and amyloid pathologies in AD, supporting future research into disease mechanisms and therapeutic strategies.

Для цитирования: Stas Eline, Yang Mengke, Schultz Simon, Go Mary Ann. Longitudinal three-photon imaging for tracking amyloid plaques and vascular degeneration in a mouse model of Alzheimer's disease.. Journal of biomedical optics. 2026. DOI: 10.1117/1.jbo.31.1.016004.

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