AIMC Topic: Larva

Clear Filters Showing 21 to 30 of 60 articles

A vacuum-actuated soft robot inspired by Drosophila larvae to study kinetics of crawling behaviour.

PloS one Apr 5, 2023
Peristalsis, a motion generated by the propagation of muscular contraction along the body axis, is one of the most common locomotion patterns in limbless animals. While the kinematics of peristalsis has been examined intensively, its kinetics remains...
Animals Larva Locomotion Drosophila Robotics Vacuum
View on PubMed DOI

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

Environmental science & technology Mar 27, 2023
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...
Animals Zebrafish Water Pollutants, Chemical Deep Learning Embryo, Nonmammalian Environmental Pollutants Edema Larva
View on PubMed DOI

Agricultural Robot-Centered Recognition of Early-Developmental Pest Stage Based on Deep Learning: A Case Study on Fall Armyworm ().

Sensors (Basel, Switzerland) Mar 15, 2023
Accurately detecting early developmental stages of insect pests (larvae) from off-the-shelf stereo camera sensor data using deep learning holds several benefits for farmers, from simple robot configuration to early neutralization of this less agile b...
Animals Insecta Deep Learning Spodoptera Agriculture Neural Networks, Computer Robotics Larva
View on PubMed DOI

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

Sensors (Basel, Switzerland) May 19, 2022
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...
Algorithms Animals Larva Artificial Intelligence Wood Acoustics Coleoptera
View on PubMed DOI

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

Advanced materials (Deerfield Beach, Fla.) Mar 18, 2022
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,...
Locomotion Animals Larva Biomimetics Swimming Robotics
View on PubMed DOI

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

Sensors (Basel, Switzerland) Feb 2, 2022
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...
Bees Electronic Nose Bayes Theorem Semiconductors Neural Networks, Computer Larva Animals United States
View on PubMed DOI

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

Lab on a chip Sep 14, 2021
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...
Drosophila Animals Imaging, Three-Dimensional Deep Learning Image Processing, Computer-Assisted Larva Microscopy
View on PubMed DOI

Exposure to polydopamine nanoparticles induces neurotoxicity in the developing zebrafish.

NanoImpact Aug 30, 2021
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...
Zebrafish Nanoparticles Animals Indoles Polymers Larva
View on PubMed DOI

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 Aug 4, 2021
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 ...
Animals Deep Learning Houseflies Larva
View on PubMed DOI

The CPGs for Limbed Locomotion-Facts and Fiction.

International journal of molecular sciences May 30, 2021
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...
Muscle, Skeletal Zebrafish Spinal Cord Animals Rodentia Larva Central Pattern Generators Lampreys Neural Networks, Computer Motor Neurons Extremities Computer Simulation Motor Activity Cats Humans Interneurons Locomotion
View on PubMed DOI
Popular Topics
Recent Journals