OnePetri vs BactiSee

Harness the power of AI and accelerate common microbiological petri dish assays with OnePetri! Tired of manually counting plaques on petri dishes? Count plaques in near real-time with OnePetri, an automated plaque counting iOS app! OnePetri currently supports bacteriophage plaque-based assays, with support for bacterial CFU counts coming in a future release! === About OnePetri === OnePetri uses machine learning models & computer vision to automatically detect petri dishes and plaques, count plaques, and perform common assay calculations with these values (plaque/titration assay). Note that as of now, OnePetri only works with circular petri dishes; however, other shapes (square & rectangle) may be added if sufficient training images can be obtained. Additionally, the models used in the app require one plate per dilution, and as such, spot assays are not currently supported. All image processing & detection is done locally on-device, with no need for an internet connection once the app has been installed. As such, OnePetri does not collect, store, or transmit any user data or images. Updates are likely to be released regularly, so regular access to the internet is strongly recommended. === Plaque count accuracy & validation === There are no restrictions on how OnePetri is used; however, the models included in the app may occasionally miscount plaques (too many, or too few) and this could affect downstream experiments and calculations. As such, all counts done by the app should always be validated by manual counting or another established "gold standard", especially in cases where it is critical to know precise values (ie. phage titration for phage therapy). The model accuracy will improve with each release thanks to additional training data provided by the community. OnePetri is completely open source, with the initial training dataset and app source code publicly available! For more information on how to contribute to the app's codebase, please visit the OnePetri website (https://onepetri.ai).

BactiSee - Your Microbial Analysis Companion Welcome to BactiSee, the ultimate tool tailored for researchers and scientists to effortlessly count bacteria in microscope images. Our app empowers you with cutting-edge features to streamline your analysis process, and it all happens right on your device, without compromising your data's security. Key Features: Image Import: Import images from your gallery or capture new ones with your device's camera, ensuring a diverse range of samples for analysis. Intuitive Renaming: Organize your scans with ease by renaming them, allowing you to locate specific samples swiftly. Quick Search: Locate specific scans based on their names, saving you valuable time during your busy research sessions. ImageJ.JS Integration: Harness the power of ImageJ.JS, ensuring precise and efficient image processing directly on your device. Data Security: Rest easy knowing that your scans and data stay within your device, and no images are uploaded to external servers. Seamless Export: After analysis, effortlessly export your processed images to the gallery, enabling easy integration with your workflow and scientific publications. Minimalist UI: Focus solely on your research without distraction, thanks to BactiSee's clean and minimal user interface. Enhance your scientific endeavors with BactiSee - the app designed to simplify bacterial analysis while preserving the precision you demand. Experience the convenience of conducting your research on-the-go with our intuitive and powerful tools. Embrace the future of microbial analysis - download BactiSee now and elevate your research to new heights! (Note: All images and microscope samples used in the app's promotional material are for illustrative purposes only.) Made by Suraj Pathak, M.S. CS, Manning College of Information and Computer Sciences, University of Massachusetts, Amherst Yuzhen Zhang, PhD. Food Science, Department of Food Science, University of Massachusetts, Amherst Lili He, Professor and Department Head, Department of Food Science, University of Massachusetts, Amherst