Ms. Mingjun Wang Profile

Mingjun Wang

Doctoral Candidate at UM-SJTU Joint Institute

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Publications (6)

Proceedings Article | 19 February 2018 Presentation + Paper

Resolution-enhanced digital in-line holographic microscope with segmentation and pixel super-resolution technique

Mingjun Wang, Shaodong Feng, Jigang Wu

Proceedings Volume 10558, 105580J (2018) https://doi.org/10.1117/12.2288087

KEYWORDS: Holograms, Image segmentation, Digital holography, Image resolution, Super resolution, Image processing algorithms and systems, Holography, Microscopes, Imaging systems, Resolution enhancement technologies

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Pixelation, blur and additional noise of imaging system limit the resolution of final images acquired. Many pixel superresolution algorithms have been applied to enhance the resolution of imaging system by merging a sequence of lowresolution holograms with different type of imaging system, for example by shifting illumination source or using wavelength scanning. Most of these pixel super-resolution imaging systems can only be implemented to single-layer sample. For multi-layer imaging system and volumetric imaging scenarios, the relative displacement of various sample at different layers will disturb each other. Herein, we report a portable, cost-effective, lensless wide-filed digital in-line holographic microscopy imaging system based on in-line hologram segmentation and pixel super-resolution algorithm, which can separate target sample from the background and improve the resolution of the sample. We demonstrated the effectiveness of our system with numerical simulation and experiment with volumetric sample. In numerical simulation, we applied a very simple two-layer sample model that samples in two layers have various moving speed and directions and also did the volumetric imaging experiment with cuvette containing algae floating in. In our system, the sensor captured a sequence of low-resolution diffraction patterns. The target sample mix with background disturbance, which will invalidate the direct pixel super-resolution technique. We applied segmentation algorithm to the reconstructed images from holograms, separating target sample from background and generating a sequence of sub-images containing only target sample with same resolution and numerical aperture as original holograms. Finally the enhanced resolution reconstructed image of target sample was obtained with pixel super-resolution algorithm, which can go beyond pixel limitation and get sub-pixel perspective microscopy. This imaging system has the advantages of wide-field, portable and lensless.

SPIE Journal Paper | 28 September 2017

Enhanced resolution for amplitude object in lensless inline holographic microscope with grating illumination

Shaodong Feng, Mingjun Wang, Jigang Wu

OE, Vol. 56, Issue 09, 093107, (September 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.9.093107

KEYWORDS: 3D image reconstruction, Holography, Holograms, Image resolution, Image enhancement, Resolution enhancement technologies, Modulation, Sensors, Microscopes, Optical sensors

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Proceedings Article | 31 October 2016 Paper

Digital in-line holographic microscope based on the grating illumination with improved resolution by interpolation

Shaodong Feng, Mingjun Wang, Jigang Wu

Proceedings Volume 10022, 1002205 (2016) https://doi.org/10.1117/12.2245517

KEYWORDS: Digital holography, Image resolution, Holography, Sensors, Digital imaging, Ronchi rulings, 3D image reconstruction, Numerical simulations, Holograms, Microscopes

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Proceedings Article | 31 October 2016 Paper

Pixel super-resolution in digital in-line holography

Mingjun Wang, Shaodong Feng, Jigang Wu

Proceedings Volume 10022, 100220A (2016) https://doi.org/10.1117/12.2245969

KEYWORDS: Image resolution, 3D image reconstruction, Holography, Super resolution, Digital holography, Holograms, Reconstruction algorithms, Microscopes, Sensors, Detection and tracking algorithms

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Proceedings Article | 11 November 2014 Paper

Iterative digital in-line holographic reconstruction with improved resolution by data interpolation

Mingjun Wang, Jigang Wu

Proceedings Volume 9271, 927110 (2014) https://doi.org/10.1117/12.2071694

KEYWORDS: 3D image reconstruction, Holograms, Holography, Digital holography, Sensors, Image resolution, Image sensors, Image restoration, Imaging systems, Numerical simulations

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SPIE Journal Paper | 1 October 2009

Large-scale conditional random field for natural outdoor scene labeling

Mingjun Wang, Jun Zhou, Jun Tu, Chengliang Liu

OE, Vol. 48, Issue 10, 107205, (October 2009) https://doi.org/10.1117/12.10.1117/1.3250201

KEYWORDS: Data modeling, Visual process modeling, Image segmentation, Cognitive modeling, Optical engineering, Magnetorheological finishing, Image classification, Light sources and illumination, RGB color model, Performance modeling

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Showing 5 of 6 publications

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