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Larva

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Exposure to polydopamine nanoparticles induces neurotoxicity in the developing zebrafish.

NanoImpact
Currently, the potential applications of polydopamine (PDA) nanoparticles in the biomedical field are being extensively studied, such as cell internalization, biocompatible surface modification, biological imaging, nano-drug delivery, cancer diagnosi...

Efficacy of Mandarin Crust Oil, Marigold Extract and Their Nanoemulsions, on (Boisd.) Larvae.

Pakistan journal of biological sciences : PJBS
<b>Background and Objective:</b> In recent years, nanoemulsions have been used to target pest toxicity due to the dangers of chemical pesticides. The current study investigated the insecticidal activity of the mandarin crust oil (<i>...

A controllable dual-catapult system inspired by the biomechanics of the dragonfly larvae's predatory strike.

Science robotics
The biomechanics underlying the predatory strike of dragonfly larvae is not yet understood. Dragonfly larvae are aquatic ambush predators, capturing their prey with a strongly modified extensible mouthpart. The current theory of hydraulic pressure be...

The CPGs for Limbed Locomotion-Facts and Fiction.

International journal of molecular sciences
The neuronal networks that generate locomotion are well understood in swimming animals such as the lamprey, zebrafish and tadpole. The networks controlling locomotion in tetrapods remain, however, still enigmatic with an intricate motor pattern requi...

Development of a deep learning model from breeding substrate images: a novel method for estimating the abundance of house fly (Musca domestica L.) larvae.

Pest management science
BACKGROUND: The application of computer vision and deep learning to pest monitoring has recently received much attention. Although several studies have demonstrated the application of object detection to the number of pests on a substrate, for house ...

Deep-learning on-chip light-sheet microscopy enabling video-rate volumetric imaging of dynamic biological specimens.

Lab on a chip
Volumetric imaging of dynamic signals in a large, moving, and light-scattering specimen is extremely challenging, owing to the requirement on high spatiotemporal resolution and difficulty in obtaining high-contrast signals. Here we report that throug...

In-Field Detection of American Foulbrood (AFB) by Electric Nose Using Classical Classification Techniques and Sequential Neural Networks.

Sensors (Basel, Switzerland)
American foulbrood is a dangerous bee disease that attacks the sealed brood. It quickly leads to the death of bee colonies. Efficient diagnosis of this disease is essential. As specific odours are produced when larvae rot, it was investigated whether...

Decoupling and Reprogramming the Wiggling Motion of Midge Larvae Using a Soft Robotic Platform.

Advanced materials (Deerfield Beach, Fla.)
The efficient motility of invertebrates helps them survive under evolutionary pressures. Reconstructing the locomotion of invertebrates and decoupling the influence of individual basic motion are crucial for understanding their underlying mechanisms,...

Acoustic Denoising Using Artificial Intelligence for Wood-Boring Pests Larvae Early Monitoring.

Sensors (Basel, Switzerland)
Acoustic detection technology is a new method for early monitoring of wood-boring pests, and the effective denoising methods are the premise of acoustic detection in forests. This paper used sensors to record larval feeding sounds and various enviro...

Deep Learning-Enabled Morphometric Analysis for Toxicity Screening Using Zebrafish Larvae.

Environmental science & technology
Toxicology studies heavily rely on morphometric analysis to detect abnormalities and diagnose disease processes. The emergence of ever-increasing varieties of environmental pollutants makes it difficult to perform timely assessments, especially using...