Fusion of Cell Refractive Index and Bright-Field Micrographs Based on Convolutional Neural Networks

Zhongfa Liu; Yizhe Yang; Yu Fang; Xiaojing Wu; Siwei Zhu; Yong Yang

doi:10.3788/LOP202158.2217001

[1] Sun L X, Wang Y J, Zhang H Q et al. Graphene-based confocal refractive index microscopy for label-free differentiation of living epithelial and mesenchymal cells[J]. ACS Sensors, 5, 510-518(2020).

[2] Sun L X, Zhang Y Q, Wang Y J et al. Refractive index mapping of single cells with a graphene-based optical sensor[J]. Sensors and Actuators B: Chemical, 242, 41-46(2017).

[3] Sun L X, Zhang Y Q, Wang Y J et al. Real-time subcellular imaging based on graphene biosensors[J]. Nanoscale, 10, 1759-1765(2018).

[4] Ma J Y, Ma Y, Li C. Infrared and visible image fusion methods and applications: a survey[J]. Information Fusion, 45, 153-178(2019).

[5] Zhu Z Q, Zheng M Y, Qi G Q et al. A phase congruency and local Laplacian energy based multi-modality medical image fusion method in NSCT domain[J]. IEEE Access, 7, 20811-20824(2019).

[6] Zhang K, Huang Y D, Yuan X et al. Infrared and visible image fusion based on intuitionistic fuzzy sets[J]. Infrared Physics & Technology, 105, 103124(2020).

[7] Luo W. NSCT-based adaptive infrared and visible light fusion algorithm[J]. Enterprise Science and Technology & Development, 93-94, 98(2019).

[8] Yi W, Zeng Y, Yuan Z. Fusion of GF-3 SAR and optical images based on the nonsubsampled contourlet transform[J]. Acta Optica Sinica, 38, 1110002(2018).

[9] Jiang Z T, He Y T. Infrared and visible image fusion method based on convolutional auto-encoder and residual block[J]. Acta Optica Sinica, 39, 1015001(2019).

[10] Wu F, Gao Y, Qin P L et al. Medical image fusion algorithm based on Laplacian pyramid and CNN[J]. Computer Engineering and Applications, 56, 208-214(2020).

[11] Jiang Z T, Liu X Y, Hu S. Scene recognition of infrared and visible light fusion images based on CNN[J]. Computer Engineering and Design, 40, 2289-2294(2019).

[12] Ma X. Research on low resolution cell image feature fusion algorithm based on convolutional neural network[D](2019).

[13] Lin S Z, Han Z. Images fusion based on deep stack convolutional neural network[J]. Chinese Journal of Computers, 40, 2506-2518(2017).

[14] Zuo Z Y. Medical image segmentation, registration, fusion, and denoising based on machine learning[J]. Electronic Design Engineering, 27, 135-139(2019).

[15] Ding Z S, Zhou D M, Nie R C et al. Infrared and visible image fusion using residual network and visual saliency detection[J]. Journal of Yunnan University (Natural Sciences Edition), 41, 1108-1117(2019).

[16] Zhou X L, Jiang Z T. Infrared and visible image fusion combining pulse-coupled neural network and guided filtering[J]. Acta Optica Sinica, 39, 1110003(2019).

[17] Li H, Zhang L M, Jiang M R et al. An infrared and visible image fusion algorithm based on ResNet152[J]. Laser & Optoelectronics Progress, 57, 081013(2020).

[18] Xing F, Meng G X, Zhang Q et al. Ultrasensitive flow sensing of a single cell using graphene-based optical sensors[J]. Nano Letters, 14, 3563-3569(2014).

[19] García-García J, Rickenstorff-Parrao C, Ramos-García R et al. Simple technique for generating the perfect optical vortex[J]. Optics Letters, 39, 5305-5308(2014).

[20] Ye F J, Li X F, Zhang X L. FusionCNN: a remote sensing image fusion algorithm based on deep convolutional neural networks[J]. Multimedia Tools and Applications, 78, 14683-14703(2019).

[21] Wang T. Research and application of infrared image and visible image fusion[D](2019).

[22] Ye F J. Remote sensing image fusion algorithm based on convolutional neural networks[D](2019).

[23] Ma J Y, Chen C, Li C et al. Infrared and visible image fusion via gradient transfer and total variation minimization[J]. Information Fusion, 31, 100-109(2016).

[24] Zeeuw P M. Wavelet and image fusion[EB/OL]. [2021-01-10]. https://ww2.mathworks.cn/help/releases/R2019b/wavelet/ref/wfusimg.html