PC3DropletDetection2 Computer Vision Project

Karl Gardner

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Biomedical Research: Researchers can use the PC3DropletDetection2 model to track the division of cells in a droplet. This model is especially useful for monitoring cell cultures in a laboratory setting, contributing to cell biology research or stem cell study.

  2. Quality Control in Pharmaceutical Manufacturing: Companies can employ this model for automated quality checks. For example, during the production of drug microspheres (tiny droplets), the model can ensure each droplet contains the correct number of cells.

  3. Fertility Clinics: In in-vitro fertilization (IVF) procedures, the model can be used to monitor the development of embryos, by examining the number of cells in a droplet.

  4. Micropipette Aspiration Studies: This tool can be used together with a microscope to see how individual cells, grouped in a droplet, resist aspiration into a micropipette. It can provide insights for medical and biological studies investigating cell adhesion and stiffness.

  5. Wastewater Treatment Analysis: The model can assist in analyzing microscopic images of droplets in the treated water to ensure it is free of microorganisms or cells before being released back into the environment.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            pc3dropletdetection2_dataset,
                            title = { PC3DropletDetection2 Dataset },
                            type = { Open Source Dataset },
                            author = { Karl Gardner },
                            howpublished = { \url{ https://universe.roboflow.com/karl-gardner-kmk9u/pc3dropletdetection2 } },
                            url = { https://universe.roboflow.com/karl-gardner-kmk9u/pc3dropletdetection2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { oct },
                            note = { visited on 2024-09-15 },
                            }
                        
                    

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