Detection and recognition of micro-nano fluorescent particle array based on Alex-Net

2nd International Workshop on Materials Science and Mechanical Engineering

机械制造;材料科学

Zhang, Y.Y.^1 ; Cheng, Z.W.^2 ; Jin, Y.C.^3 ; Si, K.^4 ; Jin, X.Y.^3

State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou

310027, China^1

Institute of Information Science and Electronic Engineering, Zhejiang University, Hangzhou

310058, China^2

Inst. of Information Science and Electronic Engineering, Zhejiang University, Hangzhou

310058, China^3

Center for Neuroscience, Department of Neurobiology, Zhejiang Province Key Laboratory of Neurobiology, Zhejiang University School of Medicine, Hangzhou

310058, China^4

关键词: Application prospect;    Fluorescent images;    Fluorescent particle;    High sensitivity;    Optical detectors;    Scattering media;    Spatial patterns;    Ultra-high-sensitivity;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/504/1/012035/pdf
DOI  :  10.1088/1757-899X/504/1/012035

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Micro-nano fluorescent particle functioning as a kind of detectionmaterial with ultra-high sensitivity are widely applied to various fields and have wide application prospects. When excited by external energy, the fluorescent particle emits which can be detected by optical detector with high sensitivity. However, the scattering media will introduce severe aberration which decreases the quality of the fluorescent images. Furthermore, when detecting the fluorescent particle array with spatial pattern, the aberration leads to more unrecognizable images. This paper proposes a method of detecting and recognizing micro-nano fluorescent particle array based on deep learning, which achieved detection and recognition with the precision rate of 97.29%.