PiRATeMC: A highly flexible, scalable, and low-cost system for obtaining high quality video recordings for behavioral neuroscience
With the rapidly accelerating adoption of machine-learning based rodent behavioral tracking tools, there is an unmet need for a method of acquiring high quality video data that is scalable, flexible, and relatively low-cost. Many experimenters use webcams, GoPros, or other commercially available cam...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Addiction Neuroscience |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772392523000512 |
| _version_ | 1797741002976395264 |
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| author | Samuel W. Centanni Alexander C.W. Smith |
| author_facet | Samuel W. Centanni Alexander C.W. Smith |
| author_sort | Samuel W. Centanni |
| collection | DOAJ |
| description | With the rapidly accelerating adoption of machine-learning based rodent behavioral tracking tools, there is an unmet need for a method of acquiring high quality video data that is scalable, flexible, and relatively low-cost. Many experimenters use webcams, GoPros, or other commercially available cameras that can be expensive, offer minimal flexibility of recording parameters, and not optimized for recording rodent behavior, leading to suboptimal and inconsistent video quality. Furthermore, commercially available products are not conducive for synchronizing multiple cameras, or interfacing with third-party equipment to allow time-locking of video to other equipment such as microcontrollers for closed-loop experiments. We present a low-cost, customizable ecosystem of behavioral recording equipment, PiRATeMC (Pi-based Remote Acquisition Technology for Motion Capture) based on Raspberry Pi Camera Boards with the ability to acquire high quality recordings in bright/low light, or dark conditions under infrared light. PiRATeMC offers users control over nearly every recording parameter, and can be fine-tuned to produce optimal videos in any behavioral apparatus. This setup can be scaled up for synchronous control of any number of cameras via a self-contained network without burdening institutional network infrastructure. The Raspberry Pi is an excellent platform with a large online community designed for novice and inexperienced programmers interested in using an open-source recording system. Importantly, PiRATeMC supports TTL and serial communication, allowing for synchronization and interfacing of video recording with behavioral or other third-party equipment. In sum, PiRATeMC minimizes the cost-prohibitive nature of conducting and analyzing high quality behavioral neuroscience studies, thereby increasing accessibility to behavioral neuroscience. |
| first_indexed | 2024-03-12T14:20:36Z |
| format | Article |
| id | doaj.art-985d15494c6b45f99ecbd8562f34ccbb |
| institution | Directory Open Access Journal |
| issn | 2772-3925 |
| language | English |
| last_indexed | 2024-03-12T14:20:36Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Addiction Neuroscience |
| spelling | doaj.art-985d15494c6b45f99ecbd8562f34ccbb2023-08-19T04:32:40ZengElsevierAddiction Neuroscience2772-39252023-12-018100108PiRATeMC: A highly flexible, scalable, and low-cost system for obtaining high quality video recordings for behavioral neuroscienceSamuel W. Centanni0Alexander C.W. Smith1Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USADepartment of Neuroscience, Medical University of South Carolina, Charleston, SC 29412, USA; Corresponding author at: Department of Neuroscience, Medical University of South Carolina, 173 Ashley Ave, BSB403, MSC510, Charleston, SC, 24925.With the rapidly accelerating adoption of machine-learning based rodent behavioral tracking tools, there is an unmet need for a method of acquiring high quality video data that is scalable, flexible, and relatively low-cost. Many experimenters use webcams, GoPros, or other commercially available cameras that can be expensive, offer minimal flexibility of recording parameters, and not optimized for recording rodent behavior, leading to suboptimal and inconsistent video quality. Furthermore, commercially available products are not conducive for synchronizing multiple cameras, or interfacing with third-party equipment to allow time-locking of video to other equipment such as microcontrollers for closed-loop experiments. We present a low-cost, customizable ecosystem of behavioral recording equipment, PiRATeMC (Pi-based Remote Acquisition Technology for Motion Capture) based on Raspberry Pi Camera Boards with the ability to acquire high quality recordings in bright/low light, or dark conditions under infrared light. PiRATeMC offers users control over nearly every recording parameter, and can be fine-tuned to produce optimal videos in any behavioral apparatus. This setup can be scaled up for synchronous control of any number of cameras via a self-contained network without burdening institutional network infrastructure. The Raspberry Pi is an excellent platform with a large online community designed for novice and inexperienced programmers interested in using an open-source recording system. Importantly, PiRATeMC supports TTL and serial communication, allowing for synchronization and interfacing of video recording with behavioral or other third-party equipment. In sum, PiRATeMC minimizes the cost-prohibitive nature of conducting and analyzing high quality behavioral neuroscience studies, thereby increasing accessibility to behavioral neuroscience.http://www.sciencedirect.com/science/article/pii/S2772392523000512Video trackingRodent behaviorPose estimationBehavioral neuroscience |
| spellingShingle | Samuel W. Centanni Alexander C.W. Smith PiRATeMC: A highly flexible, scalable, and low-cost system for obtaining high quality video recordings for behavioral neuroscience Addiction Neuroscience Video tracking Rodent behavior Pose estimation Behavioral neuroscience |
| title | PiRATeMC: A highly flexible, scalable, and low-cost system for obtaining high quality video recordings for behavioral neuroscience |
| title_full | PiRATeMC: A highly flexible, scalable, and low-cost system for obtaining high quality video recordings for behavioral neuroscience |
| title_fullStr | PiRATeMC: A highly flexible, scalable, and low-cost system for obtaining high quality video recordings for behavioral neuroscience |
| title_full_unstemmed | PiRATeMC: A highly flexible, scalable, and low-cost system for obtaining high quality video recordings for behavioral neuroscience |
| title_short | PiRATeMC: A highly flexible, scalable, and low-cost system for obtaining high quality video recordings for behavioral neuroscience |
| title_sort | piratemc a highly flexible scalable and low cost system for obtaining high quality video recordings for behavioral neuroscience |
| topic | Video tracking Rodent behavior Pose estimation Behavioral neuroscience |
| url | http://www.sciencedirect.com/science/article/pii/S2772392523000512 |
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