🧙‍♂️ ServeDMD: Serve the Dungeon Master’s Device

ServeDMD is a Python-based control framework for closed-loop photolithography on a microscope. It combines real-time Digital Mirror Device (DMD) control with deep learning–based image segmentation, enabling adaptive pattern projection and precise light-driven microfabrication. 🖥️ Server code → runs on a Raspberry Pi connected to the DMD hardware. raspberrypi_server.py 💻 Client code → runs on a control workstation (handling microscope imaging, segmentation, and feedback). microscope_client.py In short — it’s the Dungeon Master for your light patterns.

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✨ Overview

ServeDMD orchestrates a feedback loop between imaging, segmentation, and projection:

1. Capture — Acquire an image from the microscope.
2. Segment — Run deep learning segmentation (e.g., with PyTorch or TensorFlow) to identify regions of interest.
3. Project — Generate and send a photolithography pattern to the DMD.
4. Evaluate — Capture a new image and iterate — until the desired pattern is achieved.

This closed-loop control enables adaptive exposure, self-correcting lithography, and high-precision optical patterning.

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⚙️ Features

• 🧠 Closed-loop control between imaging, segmentation, and projection.
• 💡 Real-time DMD pattern generation for adaptive photolithography.
• 🧩 Modular architecture — integrate any microscope camera, DMD, or segmentation model.
• 🤖 Deep learning segmentation using PyTorch or TensorFlow backends.
• 🔬 Microscope integration via Ethernet or serial device communication.
• 🧙 Dungeon Master mode — because your photons deserve a commanding presence.

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🧰 Installation

Requirements

• Python 3.8+
• opencv-python
• numpy
• torch or tensorflow (depending on segmentation backend)
• matplotlib (for visualization)

Install dependencies:

pip install -r requirements.txt