Study on Quantitative Phase Imaging by Dual-Wavelength Digital Holography Microscopy
Lin Hu, Yunxiu Shui, Yaohui Dai, Haiyu Wu, Gang Zhu, Yan Yang
Abstract
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Lin Hu, Yunxiu Shui, Yaohui Dai, Haiyu Wu, Gang Zhu, Yan Yang
Abstract
Open-access reader
A dual-wavelength digital holographic microscopy with premagnification is proposed to obtain the object surface measurements over the large gradient. The quantitative phase images of specimens are captured in high precision by the processing of filtering and phase compensation. The phase images are acquired without phase unwrapping, which is necessary in traditional digital holographic microscopy; thereby the proposed system can greatly increase the speed of reconstruction. The results of numerical simulation and optical experiments demonstrated that the reconstructed speed increased by 37.9 times, and the relative error of measurement is 4% compared with the traditional holographic microscopy system. It means that the proposed system can directly acquire the higher quality quantitative phase distribution for specimens.
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A dual-wavelength digital holographic microscopy with premagnification is proposed to obtain the object surface measurements over the large gradient. The quantitative phase images of specimens are captured in high precision by the processing of filtering and phase compensation. The phase images are acquired without phase unwrapping, which is necessary in traditional digital holographic microscopy; thereby the proposed system can greatly increase the speed of reconstruction. The results of numerical simulation and optical experiments demonstrated that the reconstructed speed increased by 37.9 times, and the relative error of measurement is 4% compared with the traditional holographic microscopy system. It means that the proposed system can directly acquire the higher quality quantitative phase distribution for specimens.
Key concepts: Digital holographic microscopy, Holography, Digital holography, Microscopy, Optics, Phase (matter), Compensation (psychology), Computer science