Polarity‐triggered anti‐Kasha system for high‐contrast cell imaging and classification
Junyi Gong,
Peifa Wei,
Junkai Liu,
Yuncong Chen,
Zheng Zhao,
Weijun Zhao,
Huilin Xie,
Chao Ma,
Jacky W. Y. Lam,
Kam Sing Wong,
Ying Li,
Ben Zhong Tang
Affiliations
Junyi Gong
Shenzhen Institute of Aggregate Science and Technology School of Science and Engineering The Chinese University of Hong Kong Shenzhen China
Peifa Wei
Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction Institute for Advanced Study State Key Laboratory of Molecular Nanoscience Division of Life Science and Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology, Clear Water Bay Kowloon China
Junkai Liu
Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction Institute for Advanced Study State Key Laboratory of Molecular Nanoscience Division of Life Science and Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology, Clear Water Bay Kowloon China
Yuncong Chen
Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction Institute for Advanced Study State Key Laboratory of Molecular Nanoscience Division of Life Science and Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology, Clear Water Bay Kowloon China
Zheng Zhao
Shenzhen Institute of Aggregate Science and Technology School of Science and Engineering The Chinese University of Hong Kong Shenzhen China
Weijun Zhao
Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction Institute for Advanced Study State Key Laboratory of Molecular Nanoscience Division of Life Science and Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology, Clear Water Bay Kowloon China
Huilin Xie
Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction Institute for Advanced Study State Key Laboratory of Molecular Nanoscience Division of Life Science and Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology, Clear Water Bay Kowloon China
Chao Ma
Department of Physics HKUST Kowloon China
Jacky W. Y. Lam
Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction Institute for Advanced Study State Key Laboratory of Molecular Nanoscience Division of Life Science and Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology, Clear Water Bay Kowloon China
Kam Sing Wong
Department of Physics HKUST Kowloon China
Ying Li
Guangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target and Clinical Pharmacology The NMPA and State Key Laboratory of Respiratory Disease Innovation Research Center for AIE Pharmaceutical Biology School of Pharmaceutical Sciences and the Fifth Affiliated Hospital Guangzhou Medical University Guangzhou China
Ben Zhong Tang
Shenzhen Institute of Aggregate Science and Technology School of Science and Engineering The Chinese University of Hong Kong Shenzhen China
Abstract Kasha's rule, which states that all exciton emissions occur from the lowest excited state and are independent of excitation energy, makes high‐energy excitons difficult to use and severely hinders the widespread applications of organic photoluminescent materials in the real world. For decades, scientists have tried to break this rule to unleash the power of high‐energy excitons, but only minimal progress has been achieved, with no rational guiding principles provided, and few applications developed. So far, breaking Kasha's rule has remained a purely academic concept. In this paper, we introduce a design principle for a purely organic anti‐Kasha system and synthesise a series of compounds based on the design rule. As predicted, these compounds all display evident S2 emissions in dilute solutions. In addition, we introduce a highly accurate (over 90%) convolutional neural network as an assistant for the classification of cells using anti‐Kasha luminogens, thereby providing a new application direction for anti‐Kasha systems.