AS726X Multi-channel Spectrophotometer Suite

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⚠️ IMPORTANT: INTELLECTUAL PROPERTY NOTICE ⚠️

This repository contains proprietary and confidential information. ALL RIGHTS ARE RESERVED.

No part of this software, including source code, designs, and documentation, may be used, copied, modified, or distributed without the express written permission of:

1. The Lead Researcher / Author
2. Universidad de los Andes
3. The Biomicrosystems Research Group

Please refer to the LICENSE file for the full legal terms. If you do not have authorization, you must leave this repository and delete any local copies immediately.

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🔬 Project Overview

The AS726X Multi-channel Spectrophotometer Suite is a high-precision, low-cost multispectral analysis platform designed for professional and academic research. It provides a robust, thread-safe environment for real-time spectral data acquisition, scientific calibration, and advanced concentration analysis.

🌟 Key Scientific Capabilities

• Multispectral Precision: Discrete wavelength acquisition across 6 bands (450nm - 650nm) using the AS726X sensor.
• Advanced Concentration Engine:
  • Beer-Lambert Law Integration: Direct calculation of concentration ($C$) based on molar absorptivity ($\epsilon$) and path length ($b$).
  • Dynamic Calibration: Support for session-based calibration curves ($A_{custom}$ vs $C$).
  • Cross-Device Validation: Transfer models for adjusting custom absorbance readings to reference standards.
• Intelligent Baseline Management: Automated $I_0$ reference measurement and blank subtraction for drift-free analysis.
• Kinetic Studies: Support for continuous, single-averaged, and sequential measurement modes.

💻 Technical Architecture

The system is engineered using a modular State-Controller-View (SCV) pattern to ensure high performance and stability on platforms like the Raspberry Pi:

• Asynchronous Processing: Non-blocking serial I/O using QThread and dedicated SerialWorker objects to maintain UI responsiveness during high-frequency measurements.
• Real-time Visualization: Interactive spectral plotting powered by Matplotlib, featuring dynamic scaling, logarithmic transforms, and spectral superimposition.
• State Persistence: Centralized management of calibration states, measurement history, and system configurations.
• Premium UX/UI: A professional PyQt5 interface supporting native Dark and Light modes, collapsible control panels, and integrated help documentation.

🛠️ Technology Stack

Component	Technology
Backend	Python 3.10+
Frontend	PyQt5 (Custom Design System)
Scientific Logic	NumPy, SciPy (Linear Regression, Statistics)
Data Visualization	Matplotlib (Scientific Plotting)
Hardware Orchestration	Arduino (C++) / I2C Bus Management
Hardware Interface	Serial communication (PySerial)

📂 Repository Structure

• Codigo comentado/: Fully documented source code (Python & Arduino).
• Diseño/: Mechanical designs and microfluidic system specifications (CAD/PDF).
• Diagrama de clases/: UML architectural documentation.
• Manuales/: Operational and calibration guides.
• Espectrophotometer.pdf: Comprehensive scientific whitepaper and hardware specs.

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🔒 Access & Authorization

This project is part of a restricted research initiative. To request access for peer review or collaborative purposes, please contact the Biomicrosystems Research Group.

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Developed by the Biomicrosystems Team.