• Chinese Journal of Lasers
  • Vol. 47, Issue 12, 1207006 (2020)
Wang Cheng1, Liu Bin1, Zhou Chu2, Li Nianning1, Zhang Haonan2, Xiang Huazhong1, Zheng Gang1, Wang Xiuli2, and Zhang Dawei3
Author Affiliations
  • 1Key Laboratory of Medical Optical Technology and Instruments, Ministry of Education, Institute of Biomedical Optics and Optometry, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 2Institute of Photomedicine, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai 200443, China
  • 3Engineering Research Center of Optical Instrument and System, Ministry of Education, Key Laboratory of Modern Optical Systems, University of Shanghai for Science and Technology, Shanghai 200093, China
  • show less
    DOI: 10.3788/CJL202047.1207006 Cite this Article Set citation alerts
    Wang Cheng, Liu Bin, Zhou Chu, Li Nianning, Zhang Haonan, Xiang Huazhong, Zheng Gang, Wang Xiuli, Zhang Dawei. Multispectral Microimaging System with Narrowband LED Illumination[J]. Chinese Journal of Lasers, 2020, 47(12): 1207006 Copy Citation Text show less
    References

    [1] Polschikova O V, Machikhin A S, Ramazanova A G et al. An acousto-optic hyperspectral unit for histological study of microscopic objects[J]. Optics and Spectroscopy, 125, 1074-1080(2018). http://link.springer.com/article/10.1134/S0030400X19020188

    [2] Levenson R M, Fornari A, Loda M. Multispectral imaging and pathology: seeing and doing more[J]. Expert Opinion on Medical Diagnostics, 2, 1067-1081(2008). http://www.tandfonline.com/doi/abs/10.1517/17530059.2.9.1067

    [3] Luo B, Zhang L. Robust autodial morphological profiles for the classification of high-resolution satellite images[J]. IEEE Transactions on Geoscience and Remote Sensing, 52, 1451-1462(2014). http://ieeexplore.ieee.org/document/6517892/

    [4] Yuan Q Q, Zhang Q, Li J et al. Hyperspectral image denoising employing a spatial-spectral deep residual convolutional neural network[J]. IEEE Transactions on Geoscience and Remote Sensing, 57, 1205-1218(2019). http://ieeexplore.ieee.org/document/8454887

    [5] Samuel S, Martin H, Himar F et al. Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review [Invited][J]. Biomedical Optics Express, 11, 3195-3233(2020).

    [6] Li B, Beveridge P. O’Hare W T, et al. The estimation of the age of a blood stain using reflectance spectroscopy with a microspectrophotometer, spectral pre-processing and linear discriminant analysis[J]. Forensic Science International, 212, 198-204(2011).

    [7] Yang Y R, Bu Y, Xu J H et al. Measurement of surface defects of optical elements based on spectral estimation and multispectral technique[J]. Chinese Journal of Lasers, 46, 0904002(2019).

    [8] Baek I, Cho B K, Gadsden S A et al. A novel hyperspectral line-scan imaging method for whole surfaces of round shaped agricultural products[J]. Biosystems Engineering, 188, 57-66(2019).

    [9] Mansfield J R. Multispectral imaging: a review of its technical aspects and applications in anatomic pathology[J]. Veterinary Pathology, 51, 185-210(2014).

    [10] Liu L X, Li M Z, Zhao Z G et al. Recent advances of hyperspectral imaging application in biomedicine[J]. Chinese Journal of Lasers, 45, 0207017(2018).

    [11] Hu B L, Du J, Zhang Z F et al. Tumor tissue classification based on micro-hyperspectral technology and deep learning[J]. Biomedical Optics Express, 10, 6370-6389(2019). http://www.researchgate.net/publication/337370064_Tumor_tissue_classification_based_on_micro-hyperspectral_technology_and_deep_learning

    [12] Wang Q, Li Q L, Zhou M et al. Melanoma and melanocyte identification from hyperspectral pathology images using object-based multiscale analysis[J]. Applied Spectroscopy, 72, 1538-1547(2018).

    [13] Zhu S Q, Su K, Liu Y M et al. Identification of cancerous gastric cells based on common features extracted from hyperspectral microscopic images[J]. Biomedical Optics Express, 6, 1135-1145(2015).

    [14] Liao C S, Zeng L B, Wu Q S. Reaserch of a microscopic spectral imaging system with multi-band illuminants[J]. Acta Photonica Sinica, 46, 1130001(2017).

    [15] Lu C, Mandal M. Toward automatic mitotic cell detection and segmentation in multispectral histopathological images[J]. IEEE Journal of Biomedical and Health Informatics, 18, 594-605(2014).

    [16] Rong N C, Huang M Z. Age estimation of bloodstains based on visible-near infrared multi-spectrum combined ensembling model[J]. Spectroscopy and Spectral Analysis, 40, 168-173(2020).

    [17] Zoueu J T. Zan S G T. Trophozoite stage infected erythrocyte contents analysis by use of spectral imaging LED microscope[J]. Journal of Microscopy, 245, 90-99(2012).

    [18] Xiao G H, Shu R, Xue Y Q. Design of microscopic hyperspectral imaging system[J]. Optics and Precision Engineering, 12, 367-372(2004).

    [19] Qi M J, Wang X Q, Yu C R et al. Development of static microscopic spectral imaging system[J]. Optics and Precision Engineering, 23, 1240-1245(2015).

    [20] Xie Z T, Yu G Y. Optimization design method for high performance tunable filter[J]. Acta Optica Sinica, 40, 0831001(2020).

    [21] Ryu J M, Oh J H, Jo J H. Unified analytic calculation method for zoom loci of zoom lens systems with a finite object distance[J]. Journal of the Optical Society of Korea, 18, 134-145(2014).

    [22] Khelifi R, Adel M, Bourennane S. Segmentation of multispectral images based on band selection by including texture and mutual information[J]. Biomedical Signal Processing and Control, 20, 16-23(2015).

    Wang Cheng, Liu Bin, Zhou Chu, Li Nianning, Zhang Haonan, Xiang Huazhong, Zheng Gang, Wang Xiuli, Zhang Dawei. Multispectral Microimaging System with Narrowband LED Illumination[J]. Chinese Journal of Lasers, 2020, 47(12): 1207006
    Download Citation