Tcruzi-VMT: Video Microscopy and Motion Trajectories Dataset
Description
The Tcruzi-VMT dataset provides a collection of videos and trajectories from parasitological analyses of Trypanosoma cruzi (T. cruzi), the etiological agent of Chagas disease, as used in our papers [1][2]. The videos were captured using optical microscopy with dye-free samples, enabling the analysis of parasite movement in its trypomastigote blood form. The dataset highlights T. cruzi exhibiting collateral motion, while blood cells perform fluctuating and PTZ motions. All trajectories were validated by specialists. Video sets for training and testing are available. Videos are up to 10 seconds long, with a frame rate of approximately 30 frames per second (fps) and a resolution of 640 x 480 pixels. Both the training and testing sets contain videos with parasites in distinct microscope fields of view. Note: (1) The V1.avi video is available at https://doi.org/10.1371/journal.pone.0095398.s001. (2) The V4.avi video has no parasites. For further details, we recommend consulting [1]. Trajectory sets for training and testing are available. Each line of the CSV file is a trajectory step. Each step consists of the following fields: video name (Video); trajectory number (Trajectory); frame number (Frame); x position (Px); y position (Py); and label, with 0 for cell and 1 for parasite (Class). For further details, we recommend consulting [2]. The dataset can be used for studies on parasite motility, motion pattern analysis, and parasite detection. It is particularly valuable in parasitology, biophysics, AI research on motility-based diagnostics, and related fields. If you use this dataset, please cite the following papers: [1] Martins GL, Ferreira DS, Ramalho GLB (2021). Collateral motion saliency-based model for Trypanosoma cruzi detection in dye-free blood microscopy. Computers in Biology and Medicine 132:104220, ISSN 0010-4825, https://doi.org/10.1016/j.compbiomed.2021.104220 [2] Martins GL, Ferreira DS, Carneiro CM, Nogueira-Paiva NC, Bianchi AGC (2024). Trajectory-driven computational analysis for element characterization in Trypanosoma cruzi video microscopy. PLoS ONE 19(6): e0304716. https://doi.org/10.1371/journal.pone.0304716 Acknowledgment The Immunopathology Laboratory of the Nucleus of Research in Biological Sciences (NUPEB) at the Federal University of Ouro Preto (UFOP) provided the videos used in this research, with special thanks to Dra. Cláudia M. Carneiro and Dra. Nivia C. N. de Paiva for their assistance in video analysis. Additional contributions came from the Parasite Biology Laboratory of the Faculty of Medicine at the National Autonomous University of Mexico (UNAM), with appreciation to Dra. Paz M. S. Schettino, Dra. Margarita C. Bravo, and Dra. Any L. F. Villegas, as well as expert TLC. David V. Perales. Valuable insights and support that enriched the development of this project were provided, particularly by Dr. Daniel S. Ferreira, Dr. Geraldo L. B. Ramalho, and Dra. Andrea G. Campos, as well as by other collaborators.