Founding developers Katrina Nguyen, Lex Kravitz, Mohamed Ali and Filipe Carvalho
The Feeding Experimentation Device version 3 (FED3) is a small stand-alone pellet dispensing device for feeding mice and/or for training mice on operant tasks. FED3 ships with 12 built-in programs but most importantly, FED3 is open source and can be programmed by users to achieve new functionality. For an introductory video, click here.
FED3 automatically quantifies feeding with high accuracy and temporal resolution. It is home cage compatible, and can measure both food intake and feeding patterns over multiple days. The FED has a small well giving access to dispensed food pellets. A pellet in the well is detected with a photoelectric sensor. Removal of the pellet triggers the dispense of the next pellet. Pellet delivery is stored with the timestamp on an SD card. The device is battery driven. No cable or computer connection is required for operation. It uses a rechargeable battery that lasts about a week between charges.
The FED provides a huge advantage over the most common method for monitoring food intake involving the manual weighing of food, which is labour intensive, and does not give feeding patterns.
The FED3 Quick Start Instructions are very helpful once you have the device ready to go.
The built in screen provides feedback to the user while all behavioural events are logged to an inserted microSD card. The built-in programs include:
Programs can be easily modified to other tasks.
1x assembled PCB with display
1x Adafruit Feather M0 Adalogger
1x Stepper motor
1x Micro SD card
1x Micro USB cable
1x 3V Lithium Coin Cell Battery
Parts not included in the kit :
1x 4400 mAh, 3.7V, Lithium ion battery. Adafruit product ID: 354 (excluded due to Li-ion shipping restrictions)
ONLY 20mg pellets must be used with FED3. Smaller pellets might be hard to detect in the well and larger pellets might block the dispensing mechanism. More information can be found here
Bridget A Matikainen-Ankney, Thomas Earnest, Mohamed Ali, Eric Casey, Justin G Wang, Amy K Sutton, Alex A Legaria, Kia M Barclay, Laura B Murdaugh, Makenzie R Norris, Yu-Hsuan Chang, Katrina P Nguyen, Eric Lin, Alex Reichenbach, Rachel E Clarke, Romana Stark, Sineadh M Conway, Filipe Carvalho, Ream Al-Hasani, Jordan G McCall, Meaghan C Creed, Victor Cazares, Matthew W Buczynski, Michael J Krashes, Zane B Andrews, Alexxai V Kravitz (2021). An open-source device for measuring food intake and operant behavior in rodent home-cages. eLife