[Improvement of specimen sectioning technique for Virtual Chinese Human study]

Area of Science:

• Biomedical imaging
• Materials science
• Digital anatomy

Context:

• Establishing the Virtual Chinese Human dataset requires high-quality serial sections.
• Optimizing specimen preparation is crucial for accurate digital reconstruction.
• Milling tool performance directly impacts image acquisition and dataset integrity.

Purpose:

• To compare the image quality of specimen serial sections produced by tangential and radial indexable milling tools.
• To evaluate the durability and cost-effectiveness of different milling tools for dataset creation.
• To identify the optimal milling strategy for high-fidelity virtual human dataset generation.

Summary:

• Tangential milling tools demonstrated superior performance over radial tools in producing high-quality specimen serial sections.
• The study found tangential tools to be more efficient, possess longer durability, and offer a lower cost.
• These findings are critical for the successful establishment of the Virtual Chinese Human dataset.

Impact:

• Improved image quality facilitates more accurate anatomical representation in the Virtual Chinese Human dataset.
• Enhanced milling tool durability reduces operational costs and increases throughput in digital specimen preparation.
• The selection of tangential milling tools supports the advancement of digital human anatomy research and applications.