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- #Instructions for using github losslesscut install
- #Instructions for using github losslesscut windows 10
- #Instructions for using github losslesscut software
As an alternative, a push button connected to pins 37 (GPIO 26) and 39 (ground) via jumper cables can be installed to initiate the shutdown procedure. When using the graphical desktop environment, this can be achieved by selecting “shutdown” in the power options from the main menu (the raspberry icon in the top left of the taskbar) or sending a shutdown request via the command line.
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As for many electronic devices, the RPi has a shutdown procedure that should be followed before removing the power.
#Instructions for using github losslesscut install
Optional: Install a physical shutdown button. Compatible real-time clocks are widely available and affordable (e.g., see further instructions and some module options here: ). As an alternative, a coin-battery-powered real-time clock module can be readily installed using the General-Purpose Input/Output (GPIO) pins to maintain the date and time. The RPi does not maintain the time when powered off, rather it relies on an internet connection to sync with a time server. Note, the included camera cable is approximately 15 cm in length longer cables are available if required for your particular setup (e.g., we have successfully used cables up to 200 cm in length: ).
#Instructions for using github losslesscut windows 10
Whilst we used a Windows 10 computer and Android mobile device for some of the steps in this protocol, equivalent functionality is readily achieved by users with access to only macOS, iOS, or Linux systems.
#Instructions for using github losslesscut software
Customized software is available from this protocol’s GitHub repository. We demonstrate the expected outcomes of this protocol using an acute chlorine exposure model with group-housed male C57BL/6 mice. This protocol details the preparatory steps 1) video hardware and software setup 2) 3D printing and mounting of custom holders 3) analysis software setup and then the implementation of this protocol involving 4) video monitoring and capture 5) data preprocessing 6) multi-animal tracking with SLEAP for movement analysis and 7) statistical analysis. Additional institutional policies pertaining to animal video recording may also apply. However, our methods are readily transferable to other strains and species of rodents, and with only slight modifications may be implemented in different environments with other species for monitoring, tracking, and quantification of additional behavioral measures.īefore implementing this protocol, obtain ethical approvals from your institutional animal care and use committee.
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This protocol was developed and tested with male and female C57BL/6 and BALB/c mice group-housed (n = 5) in standard laboratory cages. Although beyond the scope of this protocol, the system may also be readily extended to incorporate features such as automated radio frequency identification (RFID), weighing, individualized dosing, and operant conditioning tasks (e.g., Noorshams et al., 2017 Woodard et al., 2020).
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The essential components of our system are widely available and affordable we constructed four video systems at an approximate cost of $140 each. No advanced technological or programming skills are required. This detailed protocol guides you through the construction and operation of the HCCS. By offering encrypted access to the desktop environment, our system differs from other low-cost solutions (e.g., Singh et al., 2019) that provide only limited control via a web interface running on a bespoke local Apache web server. The HCCS offers secure remote real-time video monitoring with complete system control and the ability to enable automatic or delayed recording on startup. To overcome these limitations, we have developed the Home-Cage Camera System (HCCS), a low-cost and enclosure-agnostic solution for which the limitation on the number of individuals that can be concurrently monitored and tracked is bound only by practical and species-specific welfare considerations. Commercial options for video monitoring and tracking of laboratory animals are relatively expensive, may require a proprietary housing environment, and – due to their various technological limitations – impose severe restrictions on the number of individuals that can be concurrently housed (e.g., see review by Voikar and Gaburro, 2020).