The lack of suitable bioinks in bioprinting is a major limitation in tissue engineering and regenerative medicine. The reasons are multifaceted but can primarily be attributed to the contradictory requirements for bioinks to demonstrate desirable bioactivity while exhibiting high printability. Herein, methods are proposed and tools are provided to automatically quantitate the performance of bioinks using image analysis methods and differential geometry. Several artifact structures are used including a crosshatch to evaluate filament fusion, five‐layer tube to evaluate stacked arc accuracy, overhang to test filament collapse, and a novel four‐angled pattern to evaluate turn accuracy. Automatic measurements are 95.8% accurate in delineating pores of a crosshatch pattern, 96.5%, 86.0%, 80.3%, and 80.5% accuracy for each angle of a four‐angled pattern, 98.9% and 97.9% accuracy for the external and internal radii of a five‐layer tube, and 90.6% and 99.0% accuracy for the height and width of a five‐layer tube. This automation reduces the time and effort required to analyze a structure and also provides a standardized set of tools to compare different bioinks.

中文翻译：

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自动图像分析方法可计算Bioink可印刷性

生物打印中缺乏合适的生物墨水是组织工程和再生医学的主要限制。原因是多方面的，但主要可以归因于对生物墨水的矛盾要求，以显示出理想的生物活性并表现出高可印刷性。在此，提出了使用图像分析方法和微分几何来自动定量生物墨水性能的方法和工具。使用了几种伪影结构，包括用于评估灯丝熔合的交叉影线，用于评估堆叠电弧精度的五层管，用于测试灯丝塌陷的悬垂以及用于评估转弯精度的新颖四角形图案。勾画交叉影线的孔时，自动测量的准确度为95.8％，对于四角形图案的每个角度，自动测量的准确度分别为96.5％，86.0％，80.3％和80.5％，五层管的外部和内部半径的准确度分别为98.9％和97.9％，五层管的高度和宽度的准确度分别为90.6％和99.0％。这种自动化减少了分析结构所需的时间和精力，还提供了一套标准化的工具来比较不同的生物墨水。