SCRATCH: A programmable, open-hardware, benchtop robot that automatically scratches cultured tissues to investigate cell migration, healing, and tissue sculpting.

Yubin Lin, Alexander Silverman-Dultz, Madeline Bailey, Daniel J. Cohen
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Abstract

Despite the widespread popularity of the "scratch assay", where a pipette is dragged through cultured tissue to create an injury gap to study cell migration and healing, the manual nature of the assay carries significant drawbacks. So much of the process depends on individual manual technique, which can complicate quantification, reduce throughput, and limit the versatility and reproducibility of the approach. Here, we present a truly open-source, low-cost, accessible, and robotic scratching platform that addresses all of the core issues. Compatible with nearly all standard cell culture dishes and usable directly in a sterile culture hood, our robot makes highly reproducible scratches in a variety of complex cultured tissues with high throughput. Moreover, we demonstrate how scratching can be programmed to precisely remove areas of tissue to sculpt arbitrary tissue and wound shapes, as well as enable truly complex co-culture experiments. This system significantly improves the usefulness of the conventional scratch assay, and opens up new possibilities in complex tissue engineering and cell biological assays for realistic wound healing and migration research.
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SCRATCH:一种可编程、开放式硬件台式机器人,可自动刮擦培养组织,以研究细胞迁移、愈合和组织雕刻。
尽管 "划痕试验 "广受欢迎,即用移液管在培养组织中拖动,造成损伤间隙,以研究细胞迁移和愈合,但该试验的人工性质存在很大缺陷。该方法的大部分过程都依赖于个人的手工技术,这会使定量复杂化,降低通量,并限制该方法的通用性和可重复性。在这里,我们提出了一种真正开源、低成本、易使用的机器人划痕平台,它能解决所有核心问题。我们的机器人与几乎所有标准细胞培养皿兼容,可直接在无菌培养罩中使用,能在各种复杂的培养组织中进行高通量、高重现性的划痕。此外,我们还展示了如何对划痕进行编程,以精确去除组织区域,雕刻出任意的组织和伤口形状,并实现真正复杂的共培养实验。该系统大大提高了传统划痕试验的实用性,为复杂组织工程和细胞生物学试验中的伤口愈合和迁移研究开辟了新的可能性。
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