Dense core granules Object Detection Dataset and Pre-Trained Model by lab

Images

461 images

Explore Dataset

Here are a few use cases for this project:

Medical Diagnostic Tool: The system could be used in healthcare, specifically in the area of pathology, to identify cell structures, and thus detect disease conditions. For example, changes in the state of dense-core granules within cells could indicate disease or cell damage.
Pharmaceutical Research: In biotechnology and pharmaceutical development, researchers could use the model to analyze cell responses to various drug compounds. It could identify how drug treatments affect the core granules and their classes, offering implications for drug efficacy.
Cellular Biology Studies: In cellular biology, researchers could use this model to understand better the cellular mechanisms and identify changes in the structure and function of dense core granules. This could lead to advances in biology and cell research.
Education: This model could be used as an educational tool for students and researchers studying cell biology, providing clear, visualized examples of different cellular structures like dense-core granules.
Industrial Quality Control: In industries where microorganisms are used, like fermentation or microbiology industries, this model could help monitor the health and status of these organisms by monitoring their dense core granules, thus assuring the quality and safety of the products.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ dense-core-granules-07qtt_dataset,
    title = { Dense core granules Dataset },
    type = { Open Source Dataset },
    author = { lab },
    howpublished = { \url{ https://universe.roboflow.com/lab-e4g6q/dense-core-granules-07qtt } },
    url = { https://universe.roboflow.com/lab-e4g6q/dense-core-granules-07qtt },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { apr },
    note = { visited on 2023-12-10 },
}