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◆ bioRxiv : the preprint server for biology2026-09-14· bioengineering

Dual-Mode Bio-CM 2 : Multimodal Computational Miniature Mesoscope for Fluorescence and Label-Free Imaging.

Qilin Deng, Guorong Hu, Bradley C Rauscher, Marcelo Villafuerte, Bethany Weinberg, Zhixiong Chen, Hui Feng, Anna Devor, Martin Thunemann, Lei Tian

原始摘要(英文原文)· Original abstract
Understanding biological function often requires complementary information on molecular identity, morphology, behavior, and physiology acquired simultaneously from the same specimen. Achieving this capability in miniature microscopes remains challenging because integrating multiple imaging contrasts typically increases optical complexity while compromising field of view (FOV), spatial resolution, or form factor. Here we present dual-mode Bio-CM 2 , a multimodal computational miniature mesoscope that simultaneously captures fluorescence and label-free reflectance through a shared optical architecture based on distributed computational optics. The system enables frame-interleaved, co-registered dual-mode imaging over a ∼ 7.5 × 10 mm 2 FOV with ∼ 6 µ m lateral resolution. We demonstrate the versatility of dual-mode Bio-CM 2 across diverse biological systems. In freely moving Caenorhabditis elegans , reflectance captures body posture and locomotor behavior that contextualize fluorescently labeled protein aggregates. In freely swimming larval zebrafish, reflectance captures whole-body morphology and swimming behavior, while fluorescence visualizes cardiac activity. In head-fixed mice, simultaneous fluorescence and reflectance imaging across the bilateral dorsal cortex provides complementary measurements of neuronal calcium activity and intrinsic hemodynamic signals. By integrating molecularly specific fluorescence with complementary reflectance contrast, dual-mode Bio-CM 2 extends distributed computational optics into a scalable platform for multimodal miniature imaging.
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Dual-Mode Bio-CM 2 : Multimodal Computational Miniature Mesoscope for Fluorescence and Label-Free Imaging. — 科研速览 Science Skim