| --- |
| tags: |
| - image-segmentation |
| - object-detection |
| - microbiology |
| - antimicrobial-susceptibility-testing |
| - agar-plate-analysis |
| - research-use-only |
| pipeline_tag: image-segmentation |
| --- |
| |
| # ZOI 1.0 |
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| <p align="center"> |
| <img src="./icon.jpg" alt="ZOI 1.0 icon" width="220"> |
| </p> |
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| ZOI 1.0 is an application within the CarbConnect platform. This app streamlines antimicrobial susceptibility testing (AST) by automating the measurement of inhibition zones on agar plates. |
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| It analyzes plate images to identify antimicrobial disks and determine areas where bacterial growth is inhibited, delivering fast and reliable results for microbiology workflows. |
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| Designed for microbiologists and researchers, the app enhances accuracy and efficiency in laboratory and research settings. |
|
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| ## Intended Uses and Limitations |
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| ZOI 1.0 is strictly intended for **Research Use Only (RUO)**. |
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| It is **not** intended for: |
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| - clinical diagnostics |
| - medical procedures |
| - patient management |
| - therapeutic selection |
| - any regulated medical use |
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| For further details, please refer to the ZOI 1.0 Learn More page on CarbConnect. |
|
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| ## How to Use |
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| A video tutorial demonstrating how to use the app is available on YouTube. |
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| ## Training Data |
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| Antimicrobial susceptibility testing (AST) was conducted at **CarbGeM Inc.** using representative bacterial strains, antimicrobial disks, and Mueller-Hinton agar. |
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| To generate the training dataset, approximately **300 images** of agar plates were captured using various smartphone camera models. |
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| ## Evaluation Results |
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| We evaluated the model using a test dataset comprising **66 images** with a total of **238 antimicrobial disks**. |
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| The model achieved: |
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| - **98.3%** disk detection rate |
| - **77.4%** SIR (Susceptible, Intermediate, Resistant) categorical agreement |
|
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| ## Task |
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| ZOI 1.0 supports image-based AST analysis by detecting antimicrobial disks and measuring inhibition zones on agar plate images for research workflows. |
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| ## Notes |
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| This repository documents the application and its intended research scope. It does not constitute clinical validation, medical advice, or regulatory clearance. |
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