Arduino Hardware Control

Arduino hardware control is the use of programmable microcontroller boards to sense environmental or experimental events and operate electronic devices, providing a flexible way to study and manipulate behavior. Code configures digital and analog pins to read inputs from sensors, process signals according to defined conditions, and produce outputs that drive actuators such as lights, motors, speakers, or feeders. In behavioral research, this approach enables precise timing and repeatable control of stimuli, rewards, and experimental environments while recording responses through connected sensors. Its low cost, open architecture, and adaptable programming support laboratory demonstrations, animal behavior studies, human-computer interaction experiments, and automated behavioral assays.

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Research

JoVE Journal - Neuroscience

Photobiomodulation Under Electroencephalographic Controls of Sleep for Stimulation of Lymphatic Removal of Toxins from Mouse Brain

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Cited by 5 •

2024

This study presents an original and portable tPBM technology under electroencephalographic (EEG) control of deep or non-rapid eye movement (NREM) sleep in non-anesthetized male C57BL/6 mice of different ages to stimulate lymphatic clearance of Aβ from the brain into the peripheral lymphatic system (the deep cervical lymph nodes, dcLNs).

Education

JoVE Core - Civil Engineering

GIS Software, Hardware, and Sources of GIS Data

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2025

A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

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2025

This article presents a DC microgrid with hierarchical control implemented in a simulator, OPAL RT-Lab. It details the circuit modeling, primary and secondary control strategies, and experimental validation. The results demonstrate effective control performance, highlighting the importance of a robust experimental platform for microgrid research and development.

Research

JoVE Journal - Biology
Free Sample

Studying the Protein Quality Control System of D. discoideum Using Temperature-controlled Live Cell Imaging

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2016

The social amoebae Dictyostelium discoideum has recently been established as a system to study protein misfolding and proteostasis. Here, we describe a new imaging-based methodology to study temperature-induced protein aggregation and the cellular stress response in D. discoideum.

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

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Cited by 4 •

2017

We propose a method to extend the corresponding frequency by using a pre-emphasis technique. This method compensates for the gain reduction of a galvanometer mirror in sine-wave path tracking using proportional-integral-differential control.

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