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Mask image grayscale regulation for projection stereolithography in tissue engineering

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Abstract

The mask-image-projection-based stereolithography (MIP-SL) is one of the most promising methods for preparing biological scaffolds. In this paper, a mask image planning method based on grayscale regulation is proposed based on the characteristics of the bio-scaffold structure. It is based on support vector machine method and iterative method to intelligently regulate mask pixel gray value, which can achieve low exposure error and accordingly better curing quality. Furthermore, in order to discuss the properties of grayscale regulation, single pixel light intensity function acquisition experiment and stereolithography simulation based on light intensity function and mask grayscale regulation experiment were carried out. Results show that the light intensity distribution function of single pixel follows Gaussian distribution, and the light intensity energy between adjacent pixels will affect each other. The grayscale regulation scheme can improve the degree of reduction of the cured shape of the resin and is beneficial to the curing accuracy.

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The data used or obtained in the current research can be obtained from the corresponding author upon reasonable request.

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The custom code in the current study can be obtained from the corresponding author upon reasonable request.

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Acknowledgements

The authors gratefully acknowledge the financial support from the National Natural Science Foundation of China (Nos. 51875214 and 11972161), the Science and Technology Program of Guangzhou, China (No. 201804010452), and the Department of Science and Technology of Guangdong Province (Grant No. 2019A1515110352).

Funding

The work was supported by the National Natural Science Foundation of China (Nos. 51875214 and 11972161), the Science and Technology Program of Guangzhou, China (No. 201804010452), and the Department of Science and Technology of Guangdong Province (Grant No. 2019A1515110352).

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Authors and Affiliations

  1. School of Mechanical and Automotive Engineering, South China University of Technology, Wushan Road, Tianhe District, Guangzhou, 510641, People’s Republic of China

    Tao Deng, Wangyu Liu, Weigui Xie & Jiale Huang

  2. Jihua Lab, South Road of Huandao, Nanhai District, Foshan City, People’s Republic of China

    Tao Deng

  3. State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou, 510641, People’s Republic of China

    Aimin Tang

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  1. Tao Deng
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  2. Wangyu Liu
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  3. Weigui Xie
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  4. Jiale Huang
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Contributions

Tao Deng: Investigation, methodology, simulation and experiment, writing-original draft, modification.

Wangyu Liu: Writing–review and editing, supervision, project administration, funding acquisition.

Weigui Xie: Writing–review and editing, supervision.

Jiale Huang: Writing–review and editing

Aimin Tang: Project administration, funding acquisition.

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Correspondence to Wangyu Liu.

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The authors declare no competing interests.

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Deng, T., Liu, W., Xie, W. et al. Mask image grayscale regulation for projection stereolithography in tissue engineering. Int J Adv Manuf Technol 113, 3011–3026 (2021). https://doi.org/10.1007/s00170-021-06756-6

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  • DOI: https://doi.org/10.1007/s00170-021-06756-6

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