It’s a microcontroller built into a breadboard. Actually, TWO microcontrollers. Both are Arduino-compatible. ATmega16U2 and ATmega328P. It comes in both black, white, and pink because style matters. P.S. The bottom side is filled with Lego connectors. We love Legos, but we bet we’ll never use that feature. Still, it can’t hurt.
Labrigger has been experimenting with Raspberry Pis. We still find a lot of uses for Arduinos for little jobs around experimental rigs. Their simplicity and predictable performance (no background processes) make them easy to implement and reliable. Given how useful Arduinos have been, it stands to reason that something with more power, like a Raspberry
Embrio isn’t completely open. They want to sell $50 licenses. Let’s get that out of the way first. However, it is an interesting alternative for programming Arduino hardware. It’s a visual programming environment, like LabVIEW. In some ways, it is richer than LabVIEW, and perhaps more comparable to MAX in that variable values can be
The Intel Galileo is an interesting mashup. It’s Arduino compatible. You can hand it to an undergrad and they can download the Arduino IDE and program it on their own with relatively little training. However, it’s also a 32-bit x86 SoC, so it’s running that Arduino sketch in one thread while having plenty of processing
Our friend Christian Wilms tipped us to Austin Blanco’s blog, which has some posts you all might be interested in: Characterizing unknown optical components A few notes on Arduinos, their timers, and using them with rotary optical encoders Long-term considerations when buying or building and imaging system Surprisingly clean +/- 5 volts from USB or
A friend just asked a quick question: How can I make a bunch of cheap (not fast) laser shutters? Here’s a quick answer: For motors, servos are pretty easy to use. Put a piece of black material on the arm of the servo if the laser is weak and this is safe to do. Alternatively,
One of the first posts in this blog was on Processing. Processing is a programming language with an integrated development environment that is specialized for simplicity– ease of learning and coding– and intended for applications that are primarily graphics-driven. Processing has seen continued development. Processing 2 is more OpenGL based, and for many applications, that’s
The BITalino is a microcontroller platform that comes with an array of sensors including sensors for electromyography (EMG), electrocardiography (ECG), electrodermal Activity (EDA), and more. They have several APIs, including Matlab, LabVIEW, Python, C#, and Java.
About a year ago Labrigger covered the Raspberry Pi, a single board computer. In some ways, it’s like a high-powered Arduino, but really, it’s a miniature PC. Albeit, a PC that uses an ARM processor, like many tablet computers (and other single board computers like the BeagleBoard). How about a single board computer based on
Carnegie Mellon is a magical place for robotics, and their CMUcam, an open source hardware project for machine vision, has recently culminated in Pixy. This is a wildly funded Kickstarter project (funded at 400-500% right now, and it’s just halfway through it’s 1 month period). Pixy is an easy-to-use machine vision module than can interface
4D Systems sells screens and touchscreens for Arduino, Raspberry Pi, and other systems. Importantly, the code is portable (mentioned in the video above), they have good support, and the hardware plugs right into the boards. It doesn’t get much easier than this. They have resellers worldwide.
The Open Hardware wave keeps rolling: MySpectral recently announced the Spectrino – an Arduino based spectrometer. It’s as barebones as spectrometers go, with the small enclosure containing a diffraction grating, CCD light sensor and an Arduino. Hooked up to a computer (PC, Mac, Linux) via a USB cable it is controlled and readout by a
I’ve referenced Toolduino before. Now I use Firmata more (upon which Toolduino is based). It turns the Arduino into a simple interface, rather than letting it think at all. I find this handy for prototyping up custom interfaces and checking the low level electronics. It’s cross-platform, of course.
- Analysis algorithms: performance quantification and ground truth on
- Laser pointers and quantum mechanics on
- Pixy for easy Arduino machine vision on
- Constrained non-negative matrix factorization for calcium imaging data analysis on
- Series resistance in patch clamp experiments on
- Checking PMT performance over time on
- GCaMP6 reporter mice on
- GCaMP6 reporter mice on
- Open source intrinsic imaging on
- GCaMP6 reporter mice on
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