Lab Robot Demonstrates Mastery Of Culturing And Other Tasks

July 27, 2012 by Mike Szczys 12 Comments

Lab work is a pretty good job. But sometimes being around hazardous samples, or completing tedious and repetitive tasks leave scientists looking for a different way. This robot seems to know its way around a lab. The folks behind it claim it’s more precise than veteran lab technicians, and that it can complete the tasks in half the time.

After watching the video (embedded after the jump) we’re quite impressed. The dexterity shown by the system illustrates care down to the tiniest of details. This is because everything the robot works with has been passed through a 3D scanner in order to establish a virtual model. This way the training is done in the computer. The robot can be run though any number of scenarios before it actually starts working with infectious materials like the influenza virus and other not-so-nice microbes.

What we’d really like to know is what kind of visual feedback system is being used.

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Vibrating Gloves Help Bring Back Finger Sensation After Injury

July 22, 2012 by Mike Szczys 6 Comments

This glove is something of a medical breakthrough. It’s used in conjunction with a musical keyboard to teach the wearer how to play simple songs. The thing is, instrumental proficiency isn’t the end goal. This is aimed at returning sensation to patients who have had a spinal cord injury. Many of the test subjects — all of which had the injuries more than a year before participating — experienced increased sensation in their hands and that is quite rare under these circumstances.

There’s not a ton of information available on the hardware itself, but this image lets us make a pretty good guess. The glove is a typical fingerless cycling glove. There are two conductors worth of ribbon cable going to each digit. On the ring finger you can make out the bulging hardware which appears to be a vibrating cellphone motor. The white enclosure houses the microcontroller which receives wireless commands from a PC. When it is time for a finger to move, the appropriate motor vibrates. This is best explained in the clip after the break.

Apparently the combination of sensory feedback and the need to react to it provides the therapeutic impetus which achieves the promising results seen in the study.

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Improve Your Vision With Computer Generated Glasses

July 16, 2012 by Brian Benchoff 16 Comments

[Vitor Pamplona] sent in a project presented at this years SIGGRAPH. It’s a piece of hardware that corrects vision without the need for lenses. Yep. software-defined eyeglasses now exist, even if the project is a bit bulky for daily wear.

[Vitor] et al came up with two versions of hardware for this project. The first is a dual stack of high-resolution LCD displays, while the second revision is an LCD with a lenticular overlay. With this hardware, the team can change the focal plane of an entire image, or just subsets of an image allowing for customized vision correction for anyone with nearsightedness, farsightedness, astigmatism, presbyopia, and even cataracts.

With plenty of head-mounted augmented reality platforms coming down the pipe such as Google’s Project Glass and a few retina displays, we could see this type of software-defined vision correction being very useful for the 75% of adults who use some form of vision correction. It may just be a small step towards the creation of a real-life VISOR, but we glasses-wearing folk will take what we can get.

You can check out the .PDF of the paper here, or watch the video after the break.

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Printing Organs With A 3D Printer

July 2, 2012 by Brian Benchoff 24 Comments

[Jordan Miller], [Christopher Chen], and a whole bunch of other researchers at the department of bioengineering at U Penn have figured out a way to print 3D tissues using a 3D printer. In this case, a RepRap modified to print sugar.

Traditional means of constructing living 3D tissues face a problem – in a living body, there’s a whole bunch of vasculature sending Oxygen and nutrients to the interior cells. In vitro, these nutrients can’t get to the cells in the core of a mass of tissue. [Jordan], [Chris], et al. solved this problem by printing a three-dimensional sugar lattice. After encasing this lattice in a gel embedded with living cells, the sugar can be dissolved and the nutrients pumped through the now hollow capillaries in the gel.

If you have access to Nature, the full text article is available here. There’s also a great video showing off this technique after the break.

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Multi-channel Analog Input Module Is A Good Jumping-off Point For Many Projects

June 19, 2012 by Mike Szczys 12 Comments

[Scott Harden] has already produced some projects which measure analog inputs. But he’s got plans for more and wanted a base system for graphing analog signals. You can see the small board next to his laptop which offers the ability to sample up to six signals and push them to a PC via USB.

The ATmega48 and a few supporting components are all you’ll find on that board. The USB connection is taken care of by an FTDI cable. He went that route because the cables are relatively cheap, easy to come by, and already have driver support on all the major operating systems. If you look at the screen you can see a window graphing one analog input in real-time. He wrote this in Python (which is once again a cross-platform tool) and it has no problem graphing all six inputs at once.

This is immediately useful as an upgrade to [Scott’s] ECG machine. His future plans include a Pulse Oximeter, EEG, and EEG.

DIY EMG Uses An Audio Recorder

June 17, 2012 by Mike Szczys 15 Comments

[Ericdsc] is looking to capture the electrical impulses of his muscles by using an EMG. He went through several prototypes to find the right recipe for sensors to pick up the electrical signal through his skin. Above you can see the version that worked best. Each sensor is made starting with a piece of duct tape and laying out a patch of stripped wire on it. A 5cmx1xm piece of aluminum foil then covers this, and second smaller piece of foil covers the cable’s shielding (not pictured here). This will stick to your skin to hold the sensor in place after applying a dab of sugar syrup to help make a good electrical connection.

In this case, an audio recorder is taking the measurements. [Ericdsc] had been having trouble sleeping and wanted to find out if he’s restless in bed. The audio recorder can log hours of data from the sensors which he can later analyze on the computer. Of course, it wouldn’t be hard to build your own amplifier circuit and process the signals in real-time. Maybe you want to convert that mind-controlled Pong game over to use abdominal control. You’ll have a six-pack in no time.

OpenCV Knows Where You’re Looking With Eye Tracking

May 30, 2012 by Brian Benchoff 35 Comments

[John] has been working on a video-based eye tracking solution using OpenCV, and we’re loving the progress. [John]’s pupil tracking software can tell anyone exactly where you’re looking and allows for free head movement.

The basic idea behind this build is simple; when looking straight ahead a pupil is perfectly circular. When an eye looks off to one side, a pupil looks more and more like an ellipse to a screen-mounted video camera. By measuring the dimensions of this ellipse, [John]’s software can make a very good guess where the eye is looking. If you want the extremely technical breakdown, here’s an ACM paper going over the technique.

Like the EyeWriter project this build was based on, [John]’s build uses IR LEDs around the edge of a monitor to increase the contrast between the pupil and the iris.

After the break are two videos showing the eyetracker in action. Watching [John]’s project at work is a little creepy, but the good news is a proper eye tracking setup doesn’t require the user to stare at their eye.

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