AIMC Topic: Lasers

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A vision-based system for fast and accurate laser scanning in robot-assisted phonomicrosurgery.

International journal of computer assisted radiology and surgery
PURPOSE: Surgical quality in phonomicrosurgery can be improved by open-loop laser control (e.g., high-speed scanning capabilities) with a robust and accurate closed-loop visual servoing systems. A new vision-based system for laser scanning control du...

A mechanism study on laser-induced breakdown spectroscopy and machine learning-based characterization method for waste organic polymers.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
The method based on machine learning and laser-induced breakdown spectroscopy (LIBS) is effective for rapid characterization of waste organic polymers (WOP). However, the lack of mechanistic interpretability leads to raises concerns regarding its rel...

Deep learning-based laser weed control compared to conventional herbicide application across three vegetable production systems.

Pest management science
BACKGROUND: Herbicides are the primary weed management method for processing vegetable growers, but challenges such as limited chemical options, herbicide resistance, crop injury risks, regulatory changes, and shifting consumer preferences are drivin...

Femtosecond Laser Treatment of Ti Surfaces: Antibacterial Mechanisms and Deep Learning-Based Surface Recognition.

ACS biomaterials science & engineering
Bacterial infections have been demonstrated to cause the premature failure of implants. A reliable strategy for preserving biocompatibility is to physically modify the implant surface, without using chemicals, to prevent bacterial adhesion. This stud...

DCA-U-Net: a deep learning network for segmentation of laser-induced thermal damage regions in mouse skin OCT images.

Biomedical physics & engineering express
Laser-induced thermal injury is a common form of skin damage in clinical treatment, and accurately assessing the extent of injury and treatment efficacy is crucial for patient recovery. In recent years, deep learning models have been increasingly app...

AI-guided laser purification of human iPSC-derived cardiomyocytes for next-generation cardiac cell manufacturing.

Communications biology
Current methods for producing cardiomyocytes from human induced pluripotent stem cells (hiPSCs) using 2D monolayer differentiation are often hampered by batch-to-batch variability and inefficient purification processes. Here, we introduce CM-AI, a no...

Intelligent Olfactory System Utilizing Ceria Nanoparticle-Integrated Laser-Induced Graphene.

ACS nano
The digitization of human senses has driven innovation across various technologies and transformed our daily lives, yet the digitization of olfaction remains a challenging frontier. Artificial olfactory systems, or electronic noses (e-noses), offer g...

Research on autonomous obstacle avoidance of mountainous tractors based on semantic neural network and laser SLAM.

PloS one
The accuracy and consistency of obstacle avoidance map construction are poor in complex and changeable dynamic environment. In order to improve the driving safety of mountain tractors in complex mountain environment, an autonomous obstacle avoidance ...

Label-Free Classification of L-Histidine Vs Artificial Human Sweat Using Laser Scribed Electrodes and a Multi-Layer Perceptron Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
A challenge in wearable technology lies in the realtime monitoring of molecular biomarkers associated with human health. Electrochemical sensors are one of the most useful tools for this purpose and are commonly used in health monitoring devices. Ele...