TY - JOUR
T1 - Feeding Experimentation Device (FED)
T2 - A flexible open-source device for measuring feeding behavior
AU - Nguyen, Katrina P.
AU - O'Neal, Timothy J.
AU - Bolonduro, Olurotimi A.
AU - White, Elecia
AU - Kravitz, Alexxai V.
N1 - Funding Information:
Research was funded by the National Institutes of Health Intramural Research Program . We would like to thank the NIH Section on Instrumentation and the NIH Library for their generous assistance with 3D printing, Dr. Michael Krashes and Dr. Chia Li for their donation of AgRP-IRES-Cre mice, and Dr. Miriam Bocarsly for food intake measurements via Sable’s Promethion System.
Publisher Copyright:
© 2016 Published by Elsevier B.V.
PY - 2016/7/15
Y1 - 2016/7/15
N2 - Background: Measuring food intake in rodents is a conceptually simple yet labor-intensive and temporally-imprecise task. Most commonly, food is weighed manually, with an interval of hours or days between measurements. Commercial feeding monitors are excellent, but are costly and require specialized caging and equipment. New method: We have developed the Feeding Experimentation Device (FED): a low-cost, open-source, home cage-compatible feeding system. FED utilizes an Arduino microcontroller and open-source software and hardware. FED dispenses a single food pellet into a food well where it is monitored by an infrared beam. When the mouse removes the pellet, FED logs the timestamp to a secure digital (SD) card and dispenses a new pellet into the well. Post-hoc analyses of pellet retrieval timestamps reveal high-resolution details about feeding behavior. Results: FED is capable of accurately measuring food intake, identifying discrete trends during light and dark-cycle feeding. Additionally, we show the utility of FED for measuring increases in feeding resulting from optogenetic stimulation of agouti-related peptide neurons in the arcuate nucleus of the hypothalamus. Comparison to existing methods: With a cost of ~$350 per device, FED is >10× cheaper than commercially available feeding systems. FED is also self-contained, battery powered, and designed to be placed in standard colony rack cages, allowing for monitoring of true home cage feeding behavior. Moreover, FED is highly adaptable and can be synchronized with emerging techniques in neuroscience, such as optogenetics, as we demonstrate here. Conclusions: FED allows for accurate, precise monitoring of feeding behavior in a home cage setting.
AB - Background: Measuring food intake in rodents is a conceptually simple yet labor-intensive and temporally-imprecise task. Most commonly, food is weighed manually, with an interval of hours or days between measurements. Commercial feeding monitors are excellent, but are costly and require specialized caging and equipment. New method: We have developed the Feeding Experimentation Device (FED): a low-cost, open-source, home cage-compatible feeding system. FED utilizes an Arduino microcontroller and open-source software and hardware. FED dispenses a single food pellet into a food well where it is monitored by an infrared beam. When the mouse removes the pellet, FED logs the timestamp to a secure digital (SD) card and dispenses a new pellet into the well. Post-hoc analyses of pellet retrieval timestamps reveal high-resolution details about feeding behavior. Results: FED is capable of accurately measuring food intake, identifying discrete trends during light and dark-cycle feeding. Additionally, we show the utility of FED for measuring increases in feeding resulting from optogenetic stimulation of agouti-related peptide neurons in the arcuate nucleus of the hypothalamus. Comparison to existing methods: With a cost of ~$350 per device, FED is >10× cheaper than commercially available feeding systems. FED is also self-contained, battery powered, and designed to be placed in standard colony rack cages, allowing for monitoring of true home cage feeding behavior. Moreover, FED is highly adaptable and can be synchronized with emerging techniques in neuroscience, such as optogenetics, as we demonstrate here. Conclusions: FED allows for accurate, precise monitoring of feeding behavior in a home cage setting.
KW - Arduino
KW - Feeding behavior
KW - Food intake
KW - Open-source
UR - http://www.scopus.com/inward/record.url?scp=84963959832&partnerID=8YFLogxK
U2 - 10.1016/j.jneumeth.2016.04.003
DO - 10.1016/j.jneumeth.2016.04.003
M3 - Article
C2 - 27060385
AN - SCOPUS:84963959832
SN - 0165-0270
VL - 267
SP - 108
EP - 114
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
ER -