Ms. Shanshan He Profile

Shanshan He

at Beijing Jiaotong Univ

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Publications (2)

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Proceedings Article | 9 October 2021 Paper

Study of image processing of fluorescent molecules based on microscopic hyperspectral with transmission mode

Run Tan, Zhe Zhang, Bo Zhao, Qian Zhou, Shanshan He, Lin Liu, Qiuhong Cui

Proceedings Volume 11897, 118970A (2021) https://doi.org/10.1117/12.2601424

KEYWORDS: Molecules, Absorbance, Transmittance, Image segmentation, Hyperspectral imaging, Luminescence, Statistical modeling, Imaging systems, Image processing, Microscopes

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Fluorescent molecules play an important role in many fields due to their characteristic of high sensitivity and easy operation. The traditional method for detecting fluorescent molecules is Laser Scanning Confocal Microscopy, but it has light pollution and can only detect a single class of fluorescent molecules at once. Recently, Microscopic Hyperspectral Imaging(MHSI) technology has been used to the detection of fluorescent molecules due to its high spectral resolution and non-destructive detection. However, the low spatial resolution of MHSI makes it difficult to conduct high-precision molecular research. Therefore, it is important to develop an image processing method to improve it. In this work, a twostep data processing method was proposed to enhance automatic classification effect of fluorescent molecules. We used a microscopic hyperspectral system to image the mixed five kinds of fluorescent molecular samples in transmission mode. The first step is based on the difference in unit slope of spectra curve (wavelength range was chosen from 410 nm to 550 nm) between fluorescence molecule and the background, and an image segmentation method based on minimum light transmission point is proposed. The second step is to calculate the relative absorbance of each voxel according to the nearest background voxel found on the basis of image segmentation, and to take the absorbance as the final classification feature. Compared with the traditional transmittance feature on six kinds of machine learning classification models, the average classification accuracy of the new features can be improved by 2.2%, and the time consumption per classification can be reduced by 1/3 approximately. In conclusion, the proposed two-step data processing method is suitable for the classification of multi-kinds of fluorescent molecules, which has the advantages of high efficiency and accuracy, and is expected to be widely used in biology, medicine, materials and other fields.

Proceedings Article | 9 October 2021 Paper

Study of perovskite mono-crystals growth based on micro-hyperspectral imaging

Qian Zhou, Bo Zhao, Run Tan, Shanshan He, Lin Liu, Zhe Zhang

Proceedings Volume 11897, 1189709 (2021) https://doi.org/10.1117/12.2601397

KEYWORDS: Perovskite, Absorption, Crystals, Optical properties, Bromine, Chemical species, Hyperspectral imaging, Imaging systems, Data acquisition, Spectroscopy

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Perovskites have been widely used in solar cells manufacturing due to their extraordinary photoelectric characteristics. The crystal quality of perovskite plays an important role in photoelectric conversion. Although conventional crystal quality detection methods, such as scanning electron microscopy(SEM) and atomic force microscope(AFM), have good performance of high spatial resolution, they are usually time-consuming, expensive, and sometimes damage the samples unavoidably. Hyperspectral imaging(HSI) technology has been utilized to monitor material growth process in recent years, due to its advantages of high spectral resolution, non-invasive and fast detection speed. Micro-hyperspectral imaging(MHSI) technology combines both HSI and microscopic technology, enabling it suitable for micro- and nanoscale material analysis. In this work, we have developed a kind of MHSI system. 3D data of perovskite monocrystals were obtained by transmission mode at room temperature. Perovskite mono-crystals were prepared by one-step solution self-assembly method. The experimental results illustrate that the specific absorption wavelength of perovskite is directly proportional to the thickness of mono-crystals. When the thickness increases, the absorption wavelength will shift red. The thickness factor is also verified by white light interference. The composition ratio of perovskite monocrystals has a certain dependence on its absorbance before 540 nm. The higher the proportion of Br atom is, the weaker the light absorption is, and auxiliary verification was carried out by energy dispersive spectrometer(EDS). In conclusion, MHSI technology can effectively monitor and analyze the preparation process and quality evaluation of micro- and nanoscale materials and structure, it shows a wide application prospect in material science and medical fields.

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