Digital field of view correction combined dual-view transport of intensity equation method for real-time quantitative imaging

Qingtao Gong; Qi Wei; Jing Xu; Yan Kong; Zhilong Jiang; Weiying Qian; Yueyue Zhu; Liang Xue; Fei Liu; Cheng Liu; Shouyu Wang

doi:10.1117/1.OE.57.6.063102

5 June 2018 Digital field of view correction combined dual-view transport of intensity equation method for real-time quantitative imaging

Qingtao Gong, Qi Wei, Jing Xu, Yan Kong, Zhilong Jiang, Weiying Qian, Yueyue Zhu, Liang Xue, Fei Liu, Cheng Liu, Shouyu Wang

Author Affiliations +

Optical Engineering, Vol. 57, Issue 6, 063102 (June 2018). https://doi.org/10.1117/1.OE.57.6.063102

Abstract

Dual-view transport of intensity equation (TIE) method is an ideal way for quantitative live cell imaging as it has advantages such as real-time imaging, multimode observations, compact setup, and large field of view (FoV). However, due to the image recorder installation error, the inevitable FoV mismatch between the captured under- and over-focus intensities reduces the accuracy in both amplitude and phase retrievals. Here, to eliminate this undesired FoV mismatch, the phase correlation-based digital FoV correction is adopted to recognize and compensate the rotation, scale, and translation between the under- and over-focus images. Both the numerical simulations as well as the experiments in standard sample detection and quantitative live cell imaging prove that the digital FoV correction combined dual-view TIE method can maintain the consistence of the dual FoVs, thus guaranteeing the high-accurate amplitude and phase computations, proving the proposed method is a promising quantitative live cell imaging tool in various applications such as biological observations and medical diagnostics.

Citation Download Citation

Qingtao Gong, Qi Wei, Jing Xu, Yan Kong, Zhilong Jiang, Weiying Qian, Yueyue Zhu, Liang Xue, Fei Liu, Cheng Liu, and Shouyu Wang "Digital field of view correction combined dual-view transport of intensity equation method for real-time quantitative imaging," Optical Engineering 57(6), 063102 (5 June 2018). https://doi.org/10.1117/1.OE.57.6.063102

Received: 17 February 2018; Accepted: 18 May 2018; Published: 5 June 2018

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