3 research outputs found
VACVPlaque: mobile photography of Vaccinia virus plaque assay with segmentation masks
No full textHow to Cite Us
De, T., Thangamani, S., Urbański, A., & Yakimovich, A. (2025). A digital photography dataset for Vaccinia Virus plaque quantification using Deep Learning. Scientific Data, 12(1), 719.
@article{de2025digital,
title={A digital photography dataset for Vaccinia Virus plaque quantification using Deep Learning},
author={De, Trina and Thangamani, Subasini and Urba{\'n}ski, Adrian and Yakimovich, Artur},
journal={Scientific Data},
volume={12},
number={1},
pages={719},
year={2025},
publisher={Nature Publishing Group UK London}
}
Data Description
The VACVPlaque dataset comprises spatially correlated objects, specifically virological plaques, which are circular phenotypes indicative of vaccinia virus (VACV) spread, and the wells of the assay plate. The virus plaque assay is a common method performed by infecting a monolayer of host cells (indicator cells) that are grown in the wells of assay plates or dishes. The host cells are infected with varying concentrations of a highly diluted virus inoculum. After an incubation period, typically around 48 hours, the cells are fixed with formaldehyde and stained with a dye to reveal the plaques or areas of cell death. By counting these plaques, researchers can calculate the number of infectious particles present in the original inoculum as described in [1].
This dataset consists of mobile photographs of 6-well tissue culture plates where the VACV plaque assay was conducted. The photographs were taken using two different mobile phones, resulting in 211, 8-bit RGB images with a resolution of 2448 x 3264 pixels. Each plate was photographed from two different perspectives using two different devices, meaning there are two images of the same plate but from different angles and devices.
To aid in the training of machine learning models, the dataset is divided into training, validation, and test subsets in a 70:20:10 ratio. To prevent data leaks, only one perspective of each image is included in the validation and test subsets. The training subset, which includes images from both perspectives, consists of 148 images.
File Description:
VACVPlaque_train.zip -> train holdout
VACVPlaque_validation.zip -> validation holdout
VACVPlaque_test.zip -> test holdout
Each zip file contains:
images -> {filename}.tif
plaque_masks -> {filename}.tif
well_masks -> {filename}.tif
References:
1. Dulbecco, Renato. "Production of plaques in monolayer tissue cultures by single particles of an animal virus." Proceedings of the National Academy of Sciences 38, no. 8 (1952): 747-752
Anti-Atherogenic Activity of Ethanolic Fraction ofTerminalia arjunaBark on Hypercholesterolemic Rabbits
No full textAnti-hyperlipidemic and antioxidant potential of different fractions of <i style="">Terminalia arjuna</i> Roxb. bark against PX- 407 induced hyperlipidemia
No full text282-288The three fractions diethyl ether, ethyl acetate and
ethanol. of T. arjuna exerted
hypolipidemic and antioxidative effects at two different doses levels of 175
and 350 mg/kg body weight in Poloxamer (PX)-407 induced hyperlipidemic albino
Wistar rats. The hypolipidemic and antioxidant effects of T. arjuna fractions
were noticed as EtOH>diethyl ether>ethyl acetate. The results suggest
that ethanolic fraction of T. arjuna
possesses the potent properties of being antioxidant and hypolipidemic than
other fractions. In turn, it has therapeutic potential for the prevention of coronary
arterial disease
