Dr. Zhebo Chen Profile

Dr. Zhebo Chen

at Hangzhou Dianzi Univ

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Publications (12)

SPIE Journal Paper | 15 March 2024 Open Access

3D polarization-interference holographic histology for wavelet-based differentiation of the polycrystalline component of biological tissues with different necrotic states. Forensic applications

Alexander Ushenko, Alexander Dubolazov, Jun Zheng, Alexandra Litvinenko, Mykhaylo Gorsky, Yuriy Ushenko, Iryna Soltys, Olexander Salega, Zhebo Chen, Oleh Wanchuliak

JBO, Vol. 29, Issue 05, 052920, (March 2024) https://doi.org/10.1117/12.10.1117/1.JBO.29.5.052920

KEYWORDS: Polarization, Wavelets, Tissues, Holography, Biological samples, Lung, Myocardium, Tissue optics, Statistical analysis, Biological research

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SignificanceThe interference-holographic method of phase scanning of fields of scattered laser radiation is proposed. The effectiveness of this method for the selection of variously dispersed components is demonstrated. This method made it possible to obtain polarization maps of biological tissues at a high level of depolarized background. The scale-selective analysis of such maps was used to determine necrotic changes in the optically anisotropic architectonics of biological tissues.ObjectiveDevelopment and experimental approbation of layered phase polarimetry of repeatedly scattered fields in diffuse layers of biological tissues. Application of scale-selective processing of the found coordinate distributions of polarization states in various phase sections of object fields. Determination of criteria (markers) for histological differential diagnosis of the causes of necrotic changes in optical anisotropy of biological tissues.ApproachWe used a synthesis of three instrumental and analytical methods. Polarization-interference registration of laser radiation scattered by a sample of biological tissue. Digital holographic reconstruction and layered phase scanning of distributions of complex amplitudes of the object field. Analytical determination of polarization maps of various phase cross-sections of repeatedly scattered radiation. Application of wavelet analysis of the distributions of polarization states in the phase plane of a single scattered component of an object field. Determination of criteria (markers) for differential diagnosis of necrotic changes in biological tissues with different morphological structure. Two cases are considered. The first case is the myocardium of those who died as a result of coronary heart disease and acute coronary insufficiency. The second case is lung tissue samples of deceased with bronchial asthma and fibrosis.ResultsA method of polarization-interference mapping of diffuse object fields of biological tissues has been developed and experimentally implemented. With the help of digital holographic reconstruction of the distributions of complex amplitudes, polarization maps in various phase sections of a diffuse object field are found. The wavelet analysis of azimuth and ellipticity distributions of polarization in the phase plane of a single scattered component of laser radiation is used. Scenarios for changing the amplitude of the wavelet coefficients for different scales of the scanning salt-like MHAT function are determined. Statistical moments of the first to fourth orders are determined for the distributions of the amplitudes of the wavelet coefficients of the azimuth maps and the ellipticity of polarization. As a result, diagnostic markers of necrotic changes in the myocardium and lung tissue were determined. The statistical criteria found are the basis for determining the accuracy of their differential diagnosis of various necrotic states of biological tissues.ConclusionsNecrotic changes caused by “coronary artery disease–acute coronary insufficiency” and “asthma–pulmonary fibrosis” were demonstrated by the method of wavelet differentiation with polarization interference with excellent accuracy.

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Proceedings Article | 5 January 2024 Paper

Correlation optics within the framework of the correlation optics conference at the base of Chernivtsi National University

Oleg Angelsky, Jun Zheng, Zhebo Chen

Proceedings Volume 12938, 1293802 (2024) https://doi.org/10.1117/12.3014356

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Proceedings Article | 31 December 2018 Paper

Manipulation of micro-bubbles in water by CW laser

O. Angelsky, A. Ya. Bekshaev, P. Maksimyak, A. Maksimyak, B. Guo, C. Zhebo

Proceedings Volume 10977, 109771F (2018) https://doi.org/10.1117/12.2323547

KEYWORDS: Particles, Water, Thulium, Continuous wave operation, Thermography, Absorption, Nanoparticles, Infrared lasers, Infrared cameras, Infrared radiation

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Proceedings Article | 31 December 2018 Paper

Infrared spectroscopy criteria for diagnostics selection of patients with ovarian cancer for further molecular genetic studies

I. Gruia, S. Yermolenko, O. Peresunko, Bin Guo, Zhebo Chen

Proceedings Volume 10977, 1097734 (2018) https://doi.org/10.1117/12.2323599

KEYWORDS: Infrared spectroscopy, Ovarian cancer, Plasma, Blood, Absorption, Diagnostics, Infrared radiation, Spectroscopy

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Proceedings Article | 11 September 2018 Paper

Experimental demonstration of nanoparticles motion by the vertical spin of the evanescent wave action in biological media

O. V. Angelsky, P. P. Maksymyak, A. P. Maksymyak, D. Ivanskyi, P. O. Angelsky, Bin Guo, Chen Zhebo

Proceedings Volume 10723, 1072335 (2018) https://doi.org/10.1117/12.2318540

KEYWORDS: Wave propagation, Blood, Polarization, Plasma, Prisms, Computer simulations, Nanoparticles, Optical tweezers, Interfaces, Reflection

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Proceedings Article | 19 December 2013 Paper

Defect inspection of quartz crystal based on machine vision

Zhebo Chen, Xin Zhang, Dandan Huang

Proceedings Volume 9045, 90451R (2013) https://doi.org/10.1117/12.2038090

KEYWORDS: Crystals, Quartz, Image processing, Image filtering, Defect inspection, Machine vision, Defect detection, Inspection, Optical inspection, Light sources and illumination

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Proceedings Article | 19 December 2013 Paper

Signal process research in quartz crystal chip counting system

Zhebo Chen, Qingguang Chen, Yajing Ji

Proceedings Volume 9045, 90451P (2013) https://doi.org/10.1117/12.2038085

KEYWORDS: Crystals, Signal processing, Image processing, Quartz, Imaging systems, Interference (communication), Machine vision, Cameras, Oscillators, Optical components

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SPIE Journal Paper | 1 March 2008

Stability research of one kind of high dynamic range imaging system

Jin Xu, Zhebo Chen, Xuxiang Ni, Zukang Lu

OE, Vol. 47, Issue 03, 033202, (March 2008) https://doi.org/10.1117/12.10.1117/1.2897134

KEYWORDS: High dynamic range imaging, Spatial light modulators, Liquid crystal on silicon, Imaging systems, Modulation, CMOS cameras, Image processing, Dynamical systems, Optical engineering, Range imaging

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Proceedings Article | 29 January 2007 Paper

A new method of glare protection on highway real-time monitoring during nighttime

Jin Xu, Zhebo Chen, Xuxiang Ni, Zukang Lu

Proceedings Volume 6279, 627953 (2007) https://doi.org/10.1117/12.725583

KEYWORDS: Image sensors, Cameras, Image processing, Headlamps, Modulation, Imaging systems, CMOS sensors, Liquid crystal on silicon, Digital image processing, Image analysis

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When car run in highway during night, need switch on its headlight, for intensity of the light is very high, it will cause glare vision, the camera of monitoring system will be saturation, and all the other detail (For example: License plate) can't be shown on the screen except headlight and its glare. In this paper, introduce a new system and method of glare protection on highway nighttime monitoring, it can decrease the intensity of headlight and the glare vision in real-time, so the monitoring system could gain more details of highway from camera. The whole system's hardware is made up of outer camera-lens, inner camera-lens, spatial light modulator array and image sensor. The outer camera-lens images the objects (cars on highway) on the plane of the spatial light modulator array's panel. So, the spatial light modulator array can modulate part of the image on its panel, such as decrease or increase transmission ratio (or reflect ratio). The inner camera-lens images the spatial light modulator array's panel to the image sensor. So, the image on the image sensor is the image of object image after modulated. After the image sensor gained the image, we will use our software to analyze the image, use real-time processing to get the saturation and glared region. Firstly, we use threshold arithmetic to get the saturation and high intensive pixels of the image; secondly, we use filter to get ride of the noise made from threshold arithmetic, so we can get the region of saturation and glare region of the original image; thirdly, we do expand arithmetic at the direction of car's moving, and feedback the image to spatial light modulator. If we don't use expand arithmetic at the direction of car's moving, and feedback the image gained after step 2, for the car in highway is moving very fast, after the time of image processing, the car has moved to a new location with it's direction, so the feedback image will not decrease the light intensity of the car's headlight and it's glare region properly. For these three processes are decreasing the intensity of the image region, we called it negative feedback. At same time, we do positive feedback to increase the transmission ratio (or reflect ratio) at the low light intensity region, so that more details of the object will be imaging on image sensor. In fact, the image feedback on the spatial light modulator array is the composite of the negative feedback and positive feedback. In experiment, the spatial light modulator array is liquid crystal on silicon (LCoS), all image processing is on computer, the feedback image transfers via DVI bus. For the limit of operation system, the feedback time is about 100ms.

Proceedings Article | 11 January 2007 Paper

Study on real-time images compounded using spatial light modulator

Jin Xu, Zhebo Chen, Xuxiang Ni, Zukang Lu

Proceedings Volume 6279, 627935 (2007) https://doi.org/10.1117/12.725328

KEYWORDS: Cameras, Liquid crystal on silicon, Image processing, Image sensors, Modulation, LCDs, CMOS sensors, Imaging systems, Image fusion, Spatial light modulators

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Image compounded technology is often used on film and its facture. In common, image compounded use image processing arithmetic, get useful object, details, background or some other things from the images firstly, then compounding all these information into one image. When using this method, the film system needs a powerful processor, for the process function is very complex, we get the compounded image for a few time delay. In this paper, we introduce a new method of image real-time compounded, use this method, we can do image composite at the same time with movie shot. The whole system is made up of two camera-lens, spatial light modulator array and image sensor. In system, the spatial light modulator could be liquid crystal display (LCD), liquid crystal on silicon (LCoS), thin film transistor liquid crystal display (TFTLCD), Deformable Micro-mirror Device (DMD), and so on. Firstly, one camera-lens images the object on the spatial light modulator's panel, we call this camera-lens as first image lens. Secondly, we output an image to the panel of spatial light modulator. Then, the image of the object and image that output by spatial light modulator will be spatial compounded on the panel of spatial light modulator. Thirdly, the other camera-lens images the compounded image to the image sensor, and we call this camera-lens as second image lens. After these three steps, we will gain the compound images by image sensor. For the spatial light modulator could output the image continuously, then the image will be compounding continuously too, and the compounding procedure is completed in real-time. When using this method to compounding image, if we will put real object into invented background, we can output the invented background scene on the spatial light modulator, and the real object will be imaged by first image lens. Then, we get the compounded images by image sensor in real time. The same way, if we will put real background to an invented object, we can output the invented object on the spatial light modulator and the real background will be imaged by first image lens. Then, we can also get the compounded images by image sensor real time. Commonly, most spatial light modulator only can do modulate light intensity, so we can only do compounding BW images if use only one panel which without color filter. If we will get colorful compounded image, we need use the system like three spatial light modulator panel projection. In the paper, the system's optical system framework we will give out. In all experiment, the spatial light modulator used liquid crystal on silicon (LCoS). At the end of the paper, some original pictures and compounded pictures will be given on it. Although the system has a few shortcomings, we can conclude that, using this system to compounding images has no delay to do mathematic compounding process, it is a really real time images compounding system.

Proceedings Article | 11 January 2007 Paper

A graduator test method based on dual dynamic image processing

Zhebo Chen, Jin Xu, Xiangqun Cao, Bin Lin, Zukang Lu

Proceedings Volume 6279, 62790U (2007) https://doi.org/10.1117/12.725110

KEYWORDS: Microscopes, Image processing, Imaging systems, Image acquisition, Digital imaging, Image enhancement, Error analysis, Image sensors, Precision measurement, Data analysis

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The graduator is a very important standard device in the optical angular measuring instrument, which determines the measure precision of the measuring instrument. A new graduator test method is discussed in this paper. This test method is a dual dynamic imaging measurement method with dual digital microscope system, which acquires the images of the graduator rotated by a rotating motor. Here is the introduction of this method with more detail. At first, fix a graduator to be measured on a rotary stage, this stage will be driven by a high precision programmable motor. Make the stage rotate with a constant angular velocity ω. Then place the digital microscope system upon the graduator. The digital microscope system includes two digital microscopes, which placed in the opposite diameter direction. Each digital microscope is made up of optical lens and a CMOS electro-ocular. The sampling frequency f can be set in the control software of the elector-ocular. The two digital microscopes make up a dual dynamic image acquire system. This system can acquire two images of the moving graduator at the same time with the sampling frequency f. Then, a serial of the graduator images can be acquired after a period of rotation, and there is a constant angular difference ω/f between every adjacent image. Each image of the graduator includes several graduation lines, identify these lines and get the position of the lines with image processing method. The measuring value of the rotate angle can be calculated from the adjacent line positions. Use the angular difference ω/f as a standard value of the rotate angle. Compare the measuring value and the standard value with the "comparing method of graduator measurement" formula. A compare result will be given to judge the graduator is good or not at last. The whole system is divided into four functional units: 1,the motion control unit;2,the dual dynamic imaging unit; 3, the image processing unit; 4,the data analysis unit. The measurement principle is introduced in the first part of the paper. In this part, the background of graduator measurement and the theories of graduator measurement are referred. According to the measurement principle a system design is made in the second part of the paper. In this part, the whole measure system is described: the structure of the system, the function of each component and the specifications for the key components. An experiment system is build up under the design, and some measurement data is obtained, the error analyses of the measure data is given at the last of the paper.

Proceedings Article | 30 April 2004 Paper

The performance of optical low-pass filter

Bin Lin, Zhebo Chen, Xiangqun Cao

Proceedings Volume 5279, (2004) https://doi.org/10.1117/12.520401

KEYWORDS: Crystals, Nonlinear crystals, Linear filtering, Tolerancing, Optical design, Image quality, Beam splitters, Laser crystals, Stray light, Imaging systems

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