On-Chip Automatic Trapping and Rotating for Zebrafish Embryo Injection

Chen, Zhuo; Liu, Xiaoming; Tang, Xiaoqing; Li, Yuyang; Liu, Dan; Li, Yuke; Huang, Qiang; Arai, Tatsuo

doi:10.1109/lra.2022.3194959

Cited by 5 publications

(3 citation statements)

References 23 publications

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“…• Path 2 (Ry): Flow resistance along the trapping cavity direction According to the work [20], the flow resistance along the main channel (Path 1) and along the trapping cavity direction (Path 2), can be described as :…”

Section: Filling Processmentioning

confidence: 99%

Robotic sorting of zebrafish embryos

Diouf,

Sadak,

Gerena

et al. 2024

J Micro-Bio Robot

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Transcriptomics and metabolomics, two biological research fields that need large numbers of zebrafish embryos, require the removal of unfertilized or nonviable zebrafish embryos. Biologists routinely conduct the tedious, error-prone, and time-consuming manual sorting of embryos. We suggest a novel approach that combines deep learning and microfluidics for automated sorting to overcome this difficulty. To determine the developmental stage and viability of zebrafish eggs, we trained an optimized YOLOv5 model with 95.8% accuracy and a processing speed of 10.6 ms per frame, classifying them as dead, unfertilized, or alive. The eggs are contained in traps on a microfluidic chip using micro-pumps. After that, the deep learning system can identify and automatically sort the eggs according to their viability by positioning this chip on an XYZ motorized stage. The sorting experiment was conducted in two modes: without feedback and with feedback while using the dead egg position. The first one had a sorting success rate of 90% as opposed to 97.9% for the feedback mode with 3 seconds required for each dead egg. This automated approach provides a precise and efficient way to handle a large number of zebrafish embryos while also greatly reducing the workload associated with manual sorting. The success rates attained demonstrate the usefulness and effectiveness of our suggested methodology, opening new avenues for biological research involving accurate embryo selection.

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Section: Filling Processmentioning

confidence: 99%

Robotic sorting of zebrafish embryos

Diouf,

Sadak,

Gerena

et al. 2024

J Micro-Bio Robot

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“…Precise orientation of embryos and larvae are of interest for microinjection. Several techniques have been developed for C. elegans and zebrafish. − These techniques may streamline the painful process of microinjection that usually require manual alignment of the microneedle with a specific area in the animal. Youssef et al established another manipulation technique of C. elegans where gravid animals lay eggs upon electrical stimulation.…”

Section: Tissue Organ Organoids and Whole Organismsmentioning

confidence: 99%

Advances in Microfluidics: Technical Innovations and Applications in Diagnostics and Therapeutics

Aubry

Lee

2023

Anal. Chem.

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“…However, most of these subjects have nearly spherical structures with good symmetry and are ∼5-100 μm in size; only a few work to date has been conducted on model organisms with slender bodies like C. elegans (∼600-1000 μm) 53,54 and zebrafish (∼1-5 mm). [55][56][57][58] Such methods are also strictly limited to rotational instability, bubble collapse, size mismatch, the requirement for a confined operation space, overheating from dissipated acoustic energy, complex instruments, timeconsuming, and expensive fabrication. There is still a need for a biologically safe, easy-to-fabricate, easy-to-operate, and highefficient manipulation method for small model organisms.…”

Section: Introductionmentioning

confidence: 99%