Exploiting Dynamic Nonlinearity in Upconversion Nanoparticles for Super-Resolution Imaging
Chaohao Chen, Lei Ding, Baolei Liu, Ziqing Du, Yongtao Liu, Xiangjun Di, Xuchen Shan, Chenxiao Lin, Min Zhang, Xiaoxue Xu, Xiaolan Zhong, Jianfeng Wang, Lingqian Chang, Benjamin Halkon, Xin Chen, Faliang Cheng, Fan Wang
Abstract
Single-beam super-resolution microscopy, also known as superlinear microscopy, exploits the nonlinear response of fluorescent probes in confocal microscopy. The technique requires no complex purpose-built system, light field modulation, or beam shaping. Here, we present a strategy to enhance this technique's spatial resolution by modulating excitation intensity during image acquisition. This modulation induces dynamic optical nonlinearity in upconversion nanoparticles (UCNPs), resulting in variations of nonlinear fluorescence response in the obtained images. The higher orders of fluorescence response can be extracted with a proposed weighted finite difference imaging algorithm from raw fluorescence images to generate an image with higher resolution than superlinear microscopy images. We apply this approach to resolve single nanoparticles in a large area, improving the resolution to 132 nm. This work suggests a new scope for the development of dynamic nonlinear fluorescent probes in super-resolution nanoscopy.