Transmissive Single-Pixel Microscopic Imaging through Scattering Media.

Huaxia Deng,Qianzhen Sun,Guan Wang,Qiang Li,Mengchao Ma,Xiang Zhong

doi:10.3390/s21082721

Abstract

Microscopic imaging is of great significance for medical diagnosis. However, due to the strong scattering and absorption of tissue, the implementation of non-invasive microscopic imaging is very difficult. Traditional single-pixel microscopes, based on reflective optical systems, provide an alternative solution for scattering media imaging. Here, the single-pixel microscope with transmissive liquid crystal modulation is proposed. The microscopic ability of the proposed microscope is calibrated. The multi-spectral microscopic imaging of the object is demonstrated. The transmissive imaging of the object behind the scattering media is analyzed. The proposed prototype of the transmissive single-pixel microscope is expected to be applied in microscopic imaging through scattering media and medical imaging.

Highlights

Non-invasive microscopic imaging, a secure scatheless internal micro-objects imaging method, is pervasively applied in medical science, such as fundus examination [1,2,3,4,5], angiography [6], wound monitoring [7], and cancer nest detection [8,9]
To achieve single-pixel microscopic imaging, we have proposed a single-pixel microscope that uses the liquid crystal spatial light modulator (LC-SLM) to modulate the object and Fourier Transform (FT) to realize reconstruction
The measured data are compressed to a Joint Picture Group (JPG) image to alleviate the storage pressure

Summary

Introduction

Non-invasive microscopic imaging, a secure scatheless internal micro-objects imaging method, is pervasively applied in medical science, such as fundus examination [1,2,3,4,5], angiography [6], wound monitoring [7], and cancer nest detection [8,9]. These micro-objects have large scattering angles and much absorption to incident light [10,11,12]. Non-invasive and multi-spectral imaging has limited capabilities in detection, which is critical in identifying cancer accurately

Methods

Results

Conclusion