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bioRxiv · 10.64898/2026.02.19.706735

Optimization of an automated system (ZEG) for rapid cellular extraction from live zebrafish

Abstract

Collecting cells from zebrafish embryos for genotyping is critical to rapid research with these model organisms. The standard collection process is manual, labor-intensive, time-consuming, and requires a skilled person to perform it. To overcome this challenge, researchers are exploring the development of automated genotyping tools for live animals, which would significantly enhance the efficiency and accuracy of genetic screening in zebrafish and other species. The focus of this research was to optimize the Zebrafish Embryo Genotyper (ZEG), an automated system used for the rapid extraction of cellular material from zebrafish embryos. This system rapidly vibrates a roughened chip containing a zebrafish embryo to collect genetic material safely and efficiently. The aim was to improve the efficiency of DNA collection from the chips used with the ZEG by identifying the key factors that contribute to the process. First, the chips were modified to resolve issues associated with loss of sample volume from the chip wells due to evaporation during processing. Second, we experimented with three critical parameters - sample volume in the wells, the vibrational frequency of the system, and the operation time - on the quantity of DNA collected. The performance was evaluated by measuring embryo survival and quantifying the DNA collected. The sensitivity (previously 90%) of the DNA collection and embryo survival (previously 95%) of the were both found to be greater than 95% after optimization. The optimized design parameters (15 {micro}L solution volume, 2.4 V, and a 5-minute run with 5 s alternating on/off) provided a >50% increase in DNA collection compared to the previous designs and parameters. The proposed chip design and operation do not appear to cause any apparent adverse effects on the development or survival of the embryos.

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Tazin, N., Lambert, C. J., Samuel, R., Nepal, S., Gale, B.. 2026-02-20. Optimization of an automated system (ZEG) for rapid cellular extraction from live zebrafish. https://doi.org/10.64898/2026.02.19.706735

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