TY - JOUR
T1 - A new automatic method for tracking rats in the Morris water maze
AU - Forero, Manuel G.
AU - Hernández, Natalia C.
AU - Morera, Cristian M.
AU - Aguilar, Luis A.
AU - Aquino, Ruth
AU - Baquedano, Laura E.
N1 - Publisher Copyright:
© 2023
PY - 2023/7
Y1 - 2023/7
N2 - Morris water maze (MWM) test is widely used to evaluate the learning and memory deficits in rodents. Image processing and pattern recognition can be used to analyse videos and recognize automatically the tracking in MWM. There are several commercial and free access software that allows analyzing the behavioral tasks although they also have limitations such as automation, cost, user intervention among other things. The aim of this paper was to develop a new image processing technique to automatically analyse the track of the rat in the MWM, which we called RatsTrack. The MWM test was performed with an animal model for Alzheimer, and the videos were recorded to measure the distance, time, and speed. The segmentation method based on the projection of the video frames was made for pool identification, eliminating the rat, while conserving the shape of the pool. Then, the Hough transformation was used to recognize the position and radius of the pool. Finally, the frame in which the rat is released into the pool was established automatically using mathematical morphology techniques and added as a plugin on free access ImageJ software. The new image processing technique, RatsTrack, successfully detected and located the pool and rat without user intervention, significantly decreasing operational time and providing results for distance, time, speed, and acceleration parameters of the MWM test. Alzheimer's rats compared with the control group presented significant data measured with the RatsTrack. RatsTrack is a plugin of ImageJ software and will be made freely available for public use.
AB - Morris water maze (MWM) test is widely used to evaluate the learning and memory deficits in rodents. Image processing and pattern recognition can be used to analyse videos and recognize automatically the tracking in MWM. There are several commercial and free access software that allows analyzing the behavioral tasks although they also have limitations such as automation, cost, user intervention among other things. The aim of this paper was to develop a new image processing technique to automatically analyse the track of the rat in the MWM, which we called RatsTrack. The MWM test was performed with an animal model for Alzheimer, and the videos were recorded to measure the distance, time, and speed. The segmentation method based on the projection of the video frames was made for pool identification, eliminating the rat, while conserving the shape of the pool. Then, the Hough transformation was used to recognize the position and radius of the pool. Finally, the frame in which the rat is released into the pool was established automatically using mathematical morphology techniques and added as a plugin on free access ImageJ software. The new image processing technique, RatsTrack, successfully detected and located the pool and rat without user intervention, significantly decreasing operational time and providing results for distance, time, speed, and acceleration parameters of the MWM test. Alzheimer's rats compared with the control group presented significant data measured with the RatsTrack. RatsTrack is a plugin of ImageJ software and will be made freely available for public use.
KW - Image processing
KW - ImageJ
KW - Memory
KW - Morris water maze
KW - Pattern recognition
KW - Tracking
UR - http://www.scopus.com/inward/record.url?scp=85166669068&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/b38c3f60-f36b-314a-b2a5-cb9e1fa08f1b/
U2 - 10.1016/j.heliyon.2023.e18367
DO - 10.1016/j.heliyon.2023.e18367
M3 - Artículo
C2 - 37519749
AN - SCOPUS:85166669068
SN - 2405-8440
VL - 9
SP - e18367
JO - Heliyon
JF - Heliyon
IS - 7
M1 - e18367
ER -