Phase Retrieval Method Based on Transport of Intensity Equation with Microscope Single Field of View

In microscopic imaging, transport of intensity equation (TIE) is an effective phase retrieval method. In order to effectively calculate the lost phase from the intensity information, a phase retrieval method based on the combination of traditional microscope monocular movement and TIE is proposed. In the eyepiece interface, a C adapter ring is used to connect the CCD detection device, and then, the C adapter ring is moved along the optical axis to obtain multiple single field of view intensity images. After registration, the phase of the sample is calculated by combining TIE. This method utilizes the microscope eyepiece interface, which can change the defocus distance conveniently and quickly. Real experiments, respectively, test the phase retrieval ability of the method for different complexity case. Finally, the correctness and effectiveness of the algorithm are verified by experimental results.

[1]  Pavel Hozák,et al.  Holography microscopy as an artifact-free alternative to phase-contrast , 2018, Histochemistry and Cell Biology.

[2]  A. Snigirev,et al.  Zernike phase contrast in high-energy x-ray transmission microscopy based on refractive optics. , 2017, Ultramicroscopy.

[3]  K. Ishizuka,et al.  Direct observation of curvature of the wave surface in transmission electron microscope using transport intensity equation. , 2018, Ultramicroscopy.

[4]  H. Huo,et al.  Checkerboard image processing under uneven illumination for robust Harris corner detection in camera calibration , 2018, International Conference on Digital Image Processing.

[5]  Chengyi Wang,et al.  Unmanned aerial vehicle oblique image registration using an ASIFT-based matching method , 2018 .

[6]  Claude Tadonki,et al.  Harris corner detection on a NUMA manycore , 2018, Future Gener. Comput. Syst..

[7]  L. Tian,et al.  Transport of intensity phase retrieval and computational imaging for partially coherent fields: The phase space perspective , 2015 .

[8]  Christian Depeursinge,et al.  Quantitative phase imaging in biomedicine , 2018, Nature Photonics.

[9]  M. Teague Deterministic phase retrieval: a Green’s function solution , 1983 .

[10]  Shouyu Wang,et al.  Real-time quantitative phase imaging based on transport of intensity equation with dual simultaneously recorded field of view. , 2016, Optics letters.

[11]  S. Brueck,et al.  Imaging interferometric microscopy. , 2002, Optics letters.

[12]  Qian Chen,et al.  A new microscopic telecentric stereo vision system - Calibration, rectification, and three-dimensional reconstruction , 2019, Optics and Lasers in Engineering.

[13]  Christopher J. Rozell,et al.  Precision cell boundary tracking on DIC microscopy video for patch clamping , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[14]  Ming-Chang Chen,et al.  Realization of Polarization Control in High-Order Harmonic Generation , 2019, IEEE Journal of Selected Topics in Quantum Electronics.

[15]  Phase Measurement in Electron Microscopy Using the Transport of Intensity Equation , 2005, Microscopy Today.

[16]  K. Nugent,et al.  Quantitative optical phase microscopy. , 1998, Optics letters.

[17]  Chao Zuo,et al.  Multimodal computational microscopy based on transport of intensity equation , 2016, Journal of biomedical optics.

[18]  Gabriel Popescu,et al.  Quantitative Phase Imaging (QPI) in Neuroscience , 2019, IEEE Journal of Selected Topics in Quantum Electronics.