HardLabs

MCMC-Bayesian-Learning-Strategies

maorkn·MCMC-Bayesian-Learning-Strategies·Smart_incubator/Hardware/PCB/Smart incubator 2 .kicad_sch

This repository ships a schematic but no board layout.

About the MCMC-Bayesian-Learning-Strategies PCB

MCMC-Bayesian-Learning-Strategies is an open source ESP32 PCB design by maorkn, published on GitHub. It is a board, with 20 components from 13 distinct parts.

Its main chip is the ESP32-DEVKITC-32D, from the ESP32 family. By type, the board carries 7 connectors, 6 resistors, 3 transistors, 3 diodes and 1 IC.

It belongs with the sensors designs in this gallery.

From the project

Scripts and files supplamntry metrial for Beyond Diffusion: Bayesian Learning Strategies in Single-Cell Life

An automated experimental platform for studying phenotypic plasticity, predictive learning, and cellular memory through precise environmental control

The Smart Incubator is a sophisticated ESP32-based system designed to subject cell cultures to complex, long-term environmental protocols with precise temporal control. This platform enables researchers to test hypotheses about biological prediction, memory formation, and adaptive plasticity at the cellular level—providing insights into the evolutionary origins of learning behaviors that preceded neural systems.

Main components on the MCMC-Bayesian-Learning-Strategies

ESP32-DEVKITC-32D

MCMC-Bayesian-Learning-Strategies bill of materials (BOM)

20 components, 13 distinct parts.

QtyPartRefs
1
ESP32-DEVKITC-32D
U2
1
PTC heater
Q1
1
TEC1 Cooler
Q3
1
LED
Q4
1
MAX31865
J1
1
SD Card
J2
1
OLED disp
J3
1
PTC 12V heater
J4
1
12V plug
J5
1
TEC2 12V Cooler
J6
1
LED 5V
J7
3
LED
D1, D4, D5
6
R
R4, R5, R6, R7, R8, R9

MCMC-Bayesian-Learning-Strategies design files

The KiCad project lives in the maorkn/MCMC-Bayesian-Learning-Strategies repository on GitHub; these links point at the commit this page was built from.

MCMC-Bayesian-Learning-Strategies: common questions

What microcontroller does the MCMC-Bayesian-Learning-Strategies use?

The MCMC-Bayesian-Learning-Strategies is built around the ESP32-DEVKITC-32D, from the ESP32 family.

How many components are on the MCMC-Bayesian-Learning-Strategies?

20 components, from 13 distinct parts. The full bill of materials is listed on this page.

Where can I download the MCMC-Bayesian-Learning-Strategies design files?

From the maorkn/MCMC-Bayesian-Learning-Strategies repository on GitHub, which has the schematic; the links under Design files point to each one.

Can I use the MCMC-Bayesian-Learning-Strategies design in my own project?

The repository has no license, so all rights stay with maorkn. Use it as a reference, and ask the author before reusing the design.

Can I test firmware for the MCMC-Bayesian-Learning-Strategies without the hardware?

Yes. HardLabs builds a simulation of the board from its netlist and BOM, so you can run and debug ESP32 firmware against it before you order a PCB.

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