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Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
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Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
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A practical guide to promote informatics-driven efficient biotopographic material development.

Yuanlong Guo1, Jiaomei Mi1, Chen Ye1

  • 1Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University and Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510055, China.

Bioactive Materials
|September 20, 2021
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Summary

Researchers developed guidelines to control confounding factors in micro/nano topographic cell culture devices. This enables a reusable database for designing effective biotopographic structures using informatics methods like artificial intelligence.

Keywords:
Biotopographic materialsCell culture deviceConfounding factorDatabaseInformatics

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Area of Science:

  • Biomedical Engineering
  • Cell Biology
  • Materials Science

Background:

  • Micro/nano topographic structures are crucial for cell therapies, tissue engineering, and implantable devices.
  • Computer-assisted informatics methods offer potential for designing targeted topographic structures.
  • A key challenge is the lack of a reusable database correlating structural parameters with cell responses due to confounding factors in current devices.

Purpose of the Study:

  • To identify and address confounding factors in topographic cell culture devices.
  • To develop guideline requirements and strategies for creating controlled cell culture environments.
  • To facilitate the creation of a comprehensive database for informatics-driven design of biotopographic structures.

Main Methods:

  • Systematic dissection of confounding factors and their origins in topographic cell culture.
  • Formulation of guideline requirements for device development to mitigate these factors.
  • Experimental demonstration of a topographic cell culture device adhering to the developed guidelines.

Main Results:

  • Established specific guideline requirements for developing topographic cell culture devices.
  • Demonstrated a functional device with controlled confounding factors.
  • Proposed strategies to implement these guidelines in future device development.

Conclusions:

  • Controlling confounding factors is essential for accurate data acquisition in topographic cell culture.
  • The developed guidelines and strategies can lead to a reusable database.
  • This database will accelerate the application of artificial intelligence and informatics in designing effective biotopographic structures for biomedical applications.