This paper presents the design of a vision-based automated robotic microinjection system
for batch injection of both zebrafish embryos and larvae. A novel visual recognition algorithm …

In this article, we propose a machine learning based fine-grained vehicle classification
method VehiClassNet, which effectively solves the challenges of precise vehicle recognition …

Microinjection of zebrafish larvae is widely used in vaccine development, drug screening,
gene research, etc. Conventional manual injection has the disadvantages of low efficiency …

Zebrafish behavioral patterns reveal valuable insights for biomedical research. To
accurately identify these patterns, visual tracking systems need to reconstruct 3-D …

As a typical multicellular model organism, the zebrafish has been increasingly used in
biological research. Despite the efforts to develop automated zebrafish larva imaging …

Fish feeding intensity assessment (FFIA) aims to evaluate fish appetite changes during
feeding, which is crucial in industrial aquaculture applications. Existing FFIA methods are …

Robotic microinjection has been widely applied in the biomedical field as an effective means
of cell micromanipulation. To improve the survival rate and efficiency of injection, the …

Zebrafish, and especially their larvae, are well-established small vertebrate model animals
that have been increasingly investigated in the past decades among almost all the important …

Abstract Graph Neural Networks (GNNs) have become critical in the realm of node
classification tasks. Nevertheless, they exhibit significant vulnerabilities to adversarial …