Category Archives: Science

Science

Walking on Water (with cornstarch)

In undergrad we learned about non-Newtonian fluids. Normally fluids that we’re familiar with (like water) have a constant viscosity. However, some fluids change their viscosity depending on strain rate. That is: they get thicker or thinner when you move something through them.

The quintessential example of this, often used in demonstrations, is to mix cornstarch and water in the right proportions. Then, if you put your finger in the fluid slowly, it goes right in. However, if you rapidly poke the surface of the fluid, it firms up, your finger is stopped, and leaves a dent in the surface, and if you take your finger away as rapidly as you inserted it, you typically end up with nothing on your finger.

I always wondered if it would be possible to run across a big pool of this stuff, provided one kept moving. Well, thanks to the Internets, I wonder no more. Observe:

Thanks to babayada for the initial link to YouTube (to another cornstarch and water video) via which I found this.

ADDENDUM: I just noticed that the very Wikipedia article I linked also references this video. Hah!

Bionic hand goes on the market

The reason I got into electrophysiology was because I was excited about the potential for electronic prosthetics. It seems the first real one has come to market. It’s still primitive in comparison to what I envision — a prosthetic that hooks directly up to nerves and sends and receives signals — but I’m sure that will come in time.

Kudos to these guys for making it happen!

One of the questions that has been asked before, and which this underlines, is, “when will artificial hands become superior to natural ones, and would you voluntarily switch in that scenario?” This sort of concept is explored in the various Ghost in the Shell movies, and the TV series “GITS: Stand-Alone Complex”.

Optical Mapping and Optical Coherence Tomography

In my last few posts, I’ve mentioned optical mapping and optical coherence tomography (OCT). Given just the names it’s not actually obvious that they’re entirely different things. Thus, I thought I should explain them.

Optical Mapping

“Optical Mapping” is short for something like “Optical mapping of voltage on the surface of the heart using fluorescence from potentiometric dyes”. The short version is ambiguous, as it could mean optical mapping of all kinds of stuff, and could in fact be synonymous with OCT. When cardiac electrophysiologists refer to an optical mapping study, what that usually involves is the following.

A heart is mounted in a clear chamber of some kind, and instrumented appropriately for whatever experiment is being done (say, defibrillation). A dye is then injected into the fluid flowing through the heart, typically “Tyrode’s” solution, which is kind of like blood without proteins and blood cells. This dye is fluorescent, meaning that when a certain color of light shines on it, it absorbs that light but then releases light of a different color. The cool (and useful) thing is that the amount of light released depends on the voltage gradient across the dye. It is designed to sit across the membrane of a cell, so by measuring changes in light released, it’s possible to measure changes in the electrical potential across the cell membrane, and to thereby monitor excitation, arrhythmia, and so on without electrodes. Using a fast, high-resolution camera, it is thereby possible to measure electrical activity in the heart from many more points, and at much better resolution, than using a bunch of electrodes. The major downside of optical mapping is that it is essentially limited to surfaces. Electrodes are still needed to probe the depths of the myocardium. Alternatively, optical mapping experiments can be combined with simulation experiments. We contend that if the sufrace activity of the simulation matches the suface activity of the experimental preparation “reasonably” well, the simulated activity within the walls should be a good approximation of what’s going on inside the experimental heart.

Optical Coherence Tomography

Typically referred to as OCT, the easiest way to explain it is that it’s like ultrasound imaging, but with light. In reality it gets a little more complicated. Wikipedia has a pretty good explanation. We’re using it to scan the thin right-ventricular free wall of the rabbit heart, and are then going to make and use computational models based on the resulting data. To do that, we have to segment the images (determine what is tissue, what is not), and then analyze them to create a finite element mesh.

Visiting St.Louis

I’m visiting St.Louis for the rest of this week to work with our collaborators on acquiring some OCT data. We’re imaging a right-ventricular free wall from a rabbit heart, on the endocardial side, as shown in this picture:

OCT Preparation of RV Endocardium

After we were done with work for the day, I took a walk over to the apartment building where most of our lab lived during the hurricane. It was really surreal. On the one hand, all of the Katrina Evacuation, the flooding, the return to New Orleans, etc… feels like a dream. Sometimes I almost believe it didn’t happen, though of course I know it did. And yet, here’s a reminder:

6823 Kingsbury Blvd - Our Home away from Home

We had some good times during our short stay there, and it helped to build camaraderie and cohesion in the lab. We had the whole top floor of that building (two floors) and once even made use of the roof. Shh, don’t tell Quadrangle Housing.

Follow-up on PLoS ONE Ratings, from PLoS

I mentioned yesterday the new rating system/software launched by PLoS one. This was precipitated by an announcement on the software/technical side. Today they have an article on the PLoS blog about the new rating system, encouraging people to rate articles.

Here’s the intro from the post:

I’ve been waiting to write this Blog posting for a while and now I can. As from today PLoS ONE has a user rating system for its articles. All users can now rate articles in three subjective categories: Insight, Reliability and Style. We have made the tool, now we need you to come and use it.

User rating is a very common feature of websites these days, be it for movies, books, blog posts, pretty much anything. What user rating allows is a quick and easy survey of a communities opinion. Despite the obvious advantages to hard pressed scientists trying to get to grips with a vast literature this simple system hasn’t been much applied to scientific papers up to this point.

The major exception to this is probably Faculty of 1000, which has been providing ratings for papers for many years, but that is not based on the opinion of a whole community but only the thoughts of a select few.

So what will this new rating system look like? Well, if you go to any of the six hundred or so papers that PLoS ONE has so far published and look in the right had column you will see a little box containing five small stars. Those indicate the overall aggregate rating of the paper based on individual ‘votes’ from individual users.

What’s interesting about this is that it’s a little different from a citation index, the main way that articles are scored. You see, normally scientific articles are given a ranking or score based on how much they are cited in other articles. This is a pretty good idea, but it neglects sort of “terminal” articles — that is, articles that mark the end of most investigation into a particular niche. These articles may nonetheless be extremely interesting or useful, but never garner a large citation index. Furthermore, articles of interest to people in other fields, or even the general public, will never garner any indication of said interest or popularity under the conventional system. The occasional exception might be popular science articles inspired by new publications in Nature or Science.

With the emergence of an article rating system, that may change. People can read and rate articles without having to write an entire manuscript. People can leave comments on articles without drafting (and having accepted) an “official” editorial or response in a major academic journal. Things are getting a lot more interesting, and quickly.

As the title of the article suggests, Rate Early, Rate Often.