Antibody ID with pattern recognition

1. **Scanning and Data Capture**:
- Use the device camera to scan manufacturer antibody panels.
- Convert scanned images into usable data with OCR (Optical Character Recognition) or similar methods.

2. **Data Analysis**:
- Implement algorithms to analyze the panel data, identifying patterns and suggesting possible antibodies.
- Focus on methods that allow ruling out antibodies by analyzing positive and negative reactions.

3. **Database Management**:
- Design a database to store and manage multiple lots of antibody panels.
- Include search features to quickly find specific lots and cells.

4. **Search and Filtering**:
- Develop easy-to-use search tools to help users find specific data within lots and cells.
- Add filters to make searching more efficient.

5. **Cell Suggestion**:
- Build a feature that recommends the best cells for ruling out antibodies, based on the data analysis.
- Allow users to select and save these cells for future use.

6. **User Interface**:
- Create a user-friendly interface optimized for iPhone and iPad.
- Ensure the app runs smoothly and handles data processing quickly.