Intelligent fluorophores: navigating biological complexity through adaptive single-molecule imaging

Byung Seok; Hyo In Kim; Taekjip Ha; Dokyoung Kim

doi:10.1016/j.scib.2026.05.035

May 1, 2026Science BulletinOpen Access

Intelligent fluorophores: navigating biological complexity through adaptive single-molecule imaging

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Key Points

This work aims to redefine fluorescent probe design to develop responsive probes for sensing biological environments.
Proposes a research framework for intelligent, nano-enabled, and hybrid smart probes.
Establishes evaluation criteria and design strategies for probes in various biological systems.
Addresses imaging challenges like fluorescence blinking and biological contamination through modeling and enhancing environmental tolerance.
Introduces a system for modeling probe behavior to improve imaging reliability.
Demonstrates the effectiveness of smart fluorescent probes in complex biological imaging tasks.
Highlights the importance of co-designing probes with optical systems and AI reasoning to manage biological complexity.

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Implication

This viewpoint highlights how intelligent fluorescent probes enhance imaging accuracy in complex biological settings, suggesting innovative design strategies.

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Seok et al. (2026) studied this question.

synapsesocial.com/papers/6a0ff2f5d674f7c03778b5c8 https://doi.org/10.1016/j.scib.2026.05.035

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Intelligent fluorophores: navigating biological complexity through adaptive single-molecule imaging

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Intelligent fluorophores: navigating biological complexity through adaptive single-molecule imaging

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