Table 1 Parts list for the main components to build the automated home page for self-head-fixation and imaging.

From: High-throughput automated home-cage mesoscopic functional imaging of mouse cortex

Component

#

Vendor

Product ID

Raspberry Pi Model B 2

1

Newark

38Y6467

8gb SD card

1

Adafruit

1583

Powered USB hub for hard disk

1

Staples

22316

USB hard disk 2TB

1

Seagate

STDR2000100

Raspberry Pi Dish

1

Adafruit

942

L293D

1

Adafruit

807

L298N

1

Amazon

B00AJGM37I

Pi Cobbler +

1

Adafruit

1989

Water valve solenoid

1

Newark

45M6131

Linear lift electromagnet Solenoid

2

Aliexpress

2026619226

Solenoid (initial design only)

2

Planetengineers

S-15-75-28-H

RFID Reader ID-12LA (125 kHz)

1

Sparkfun

11827

SparkFun RFID reader breakout

1

Sparkfun

13030

RFID glass capsule (125 kHz)

# of mice

Sparkfun

9416

RPi camera (F)

1

WVShare

RPi camera (F)

Chromoly steel (head bar)

1

McMaster-Carr

4468T11

ET525/36m 10 mm filter

1

Chroma

ET525/36m

  1. With the exception of the fluorescence filters that could be substituted with cheaper coloured glass variety, the main components are less than $300 per cage. Example code to run the home-cage system is available at: http://www.neuroscience.ubc.ca/faculty/murphy_software.html. Stl file for 3D printing the head-fixation chamber (printed using Form1+ from Formlabs) is provided at the same location. LED fluorescence excitation was as described previously12.
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