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Updated: Jan 17, 2026

Bioluminescence and Near-infrared Imaging of Optic Neuritis and Brain Inflammation in the EAE Model of Multiple Sclerosis in Mice
Published on: March 1, 2017
Ultra-Sensitive Near-Infrared Imaging of Micro-Neuroinflammation with Surface-Engineered Silver Indium Selenide
Wanru Tian1, Xin Zhao1, Yao Li1
1Key Laboratory of Optic-Electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Zhengzhou Road 53, Qingdao 266042, China.
Abstract:
Encephalitis, a severe inflammatory brain condition, poses significant diagnostic challenges due to its heterogeneous symptoms and the limitations of conventional imaging techniques, such as magnetic resonance imaging (MRI), which often fail to detect early or subtle lesions. To address this clinical need, herein, a near-infrared (NIR) optical imaging strategy using engineered silver indium selenide quantum dots (QDs) was developed for precise and early detection of microencephalitic lesions. The QDs were synthesized via a robust aqueous-phase method with optimized NIR emission intensity through suppression of nonradiative recombination pathways. Surface modification with carboxyl-terminated poly(ethylene glycol) (carboxyl-PEG) enhanced colloidal stability, biocompatibility, and selective uptake capabilities by disease-associated M1 macrophages, improving localization at inflammatory sites. In vivo studies demonstrated the outstanding imaging performance of QDs, with encephalitis lesions clearly delineated at ultrahigh spatial resolution, enabling reliable detection of microinflammatory foci as small as 4.6 mm × 5.3 mm. This breakthrough capability facilitates early diagnosis by resolving sub-5 mm lesions, surpassing the sensitivity and resolution of conventional methods for the first time. By providing a noninvasive, high-resolution diagnostic tool, this technology holds potential for improving clinical decision-making and patient outcomes in encephalitis and other neuroinflammatory disorders, particularly in resource-limited settings where early diagnosis remains challenging.

