http://www.space.com/scienceastronomy/planetearth/astrobio_rocks_030331.htm

To those interested in early life on Earth, stromatolites are among the most
intriguing life forms known. Billions of years ago, they may have been the
dominant form of life on the planet. Some scientists speculate that,
perhaps, similar organisms once populated Mars.

Strictly speaking, stromatolites are not organisms, but rather layered
structures built by colonies of microorganisms, the first great wonder of
the ancient world. Until a few years ago, whenever geobiologists found an
ancient rock looked like a fossilized stromatolite, they figured it was a
stromatolite. But in 1996, John Grotzinger of MIT published a paper in the
journal Nature showing that stromatolite-like structures could be formed
through a simple chemical process, without the help of microorganisms.

So how does one separate the wheat from the chaff, the true stromatolites
from the fakes?

One method is to examine the suspect rock with a microscope, looking for
visual evidence of microorganisms. But as researchers who study ancient
terrestrial rocks- and one notorious Martian meteorite - have discovered, it
isn't all that easy to tell, just by looking at shapes, whether or not a
microscopic blob in a rock was once alive.

Stromatolites are handy in this regard because their characteristic layers,
although formed by microscopic organisms, are visible to the naked eye. So
if there were an easy way to distinguish biological stromatolites from
non-biological layered structures that merely look like stromatolites, it
not only would help in understanding the evolution of early life on Earth,
it might also prove a useful tool for detecting evidence of ancient Martian
life because stromatolites could be detected easily by a rover's camera.

Frank Corsetti, who is with the department of Earth Sciences at the
University of Southern California (USC), and Michael Storrie-Lombardi of
JPL, think they may have found a way. Their approach is simplicity itself:
Create a digital image of the rock; then compress the image file. The more
the file shrinks, the more likely it is that life was responsible for
building the layers.

Corsetti and Storrie-Lombardi began by collecting a series of TIFF images,
some believed to be of biological stromatolites, others believed to be of
non-biological layered structures that merely look like stromatolites. When
they compressed the images on a Macintosh computer using the standard UNIX
compression utility gzip, they found that the images of biological
stromatolites were more compressible.

Here's why:

An RGB image file, like those used by Corsetti in his analysis, is comprised
of a series of data bytes. Three bytes - one red, one green and one blue -
represent each pixel in the image. The numerical values of the bytes
indicate the color of the pixel.

When gzip compresses a file, it looks for multi-byte patterns in the data.
It assigns a number to each pattern it finds and maintains a table that
pairs patterns with their corresponding numbers. Each time a pattern recurs
in the original file, instead of storing the pattern, the compressed file
stores the number that represents the pattern. In this way, a pattern tens
or even hundreds of bytes long can be represented by a number that is one,
two or three bytes long. This is why the compressed file is smaller.

Corsetti explains that the biogenic images are more compressible because
they're more predictable or redundant, which can be considered a form of
biologic complexity.

This notion may seem counter-intuitive. Initially, Corsetti says, "I
expected that the biotic one would be harder to compress, and that the
abiotic one would be more regular, easier to compress. So we did the
analysis - and it came out reversed."

Resolving this apparent contradiction requires a realignment of one's ideas
about complexity. In this context, "complex" doesn't mean "complicated";
rather, it means, "patterned," less random.

"A computer file that's complex," says Corsetti, "would have a lot of
non-redundant, or random, features in the data. Patterns would be hard to
see in something that is more random. Something that's very redundant would
have a lot of repeated patterns, and would be more compressible, and
therefore less complex."

Although biological stromatolites and non-biological stromatolite-look-alike
structures appear similar to the human eye, the biological origin of
stromatolites makes them more ordered, more highly patterned. And it is this
patterning that, while hard for the human eye to discern, is readily
detected by the compression algorithm. Non-biological stromatolite-like
structures are more random, less patterned and therefore less compressible.

Robert Hazen, who is with the Carnegie Institution of Washington, has spent
the last several years studying complex systems, both living and non-living.
He's intrigued by Corsetti's findings.

"The thing that maybe has turned a lot of scientists off to the idea of
complexity, is that there has not been any universal or simple way to
quantify what you mean by complexity. The sort of thing - I know it when I
see it - isn't very useful," he says. His interest is piqued, however, "any
time someone comes up with a way to look at a system and says, let's see if
we can't in a purely mathematical impartial way see if there's a difference
in the quantifiable structure" of a living versus a non-living system.

"It's an amazingly simple idea," says Hazen of Corsetti's work. "It's one
that does not pre-judge anything genetic about the structure. It just says,
can we differentiate between those stromatiform objects, which are not
biological, and the stromatolites, which clearly are? And, lo and behold he
does this and finds that - wow! - there's a difference."

What's Next

Corsetti is the first to raise a cautionary flag about this work. "This is
very preliminary. I'm not saying we have the answer. In fact, I don't
believe we have the answer. What we have are some intriguing preliminary
results."

So far, he and his colleagues have examined only about 20 images. They
appear to cluster into two groups, one biotic, the other abiotic. "We need
to do a lot more work to see, is this a spectrum, an interaction between
abiotic and biotic things, or is it truly a signature [that can distinguish
between the two]? And right now I'm not ready to say one way or the other,
if it's a signature or not. What I am willing to say is that it deserves
further research."

That research is already underway. Corsetti and Storrie-Lombardi plan to
examine many more images in the coming months in an effort to determine just
how useful the technique may prove.

"Our goal is to eventually have some kind of data base or website, where we
could provide the protocol and other people would analyze their
stromatolites in the same way and see what they come up with.

"It would be really neat if people could send us an image - they will
determine to their eye, based on the microscopic structure, whether they
think it's biotic or abiotic, and send it to us as an unknown. We could do
the analysis, see where it falls, and then see if it matches with what they
found. And that's kind of cool because it adds a certain double blind aspect
to the study, which at this point we don't have."

When asked if he planned to apply his technique to close-up images of Mars
rocks sent back by the upcoming MER missions, Corsetti said, "Oh sure, I'd
love to look at those! But we're not ready to say, hey, we can make a
comment one way or the other."



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Complexity Complications Maru
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