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Flow

Julie Theriot and Fred Soo

Jeff Clark

Cedric Kiefer and Daniel Franke

Kristian Kloeckl

NASA/Goddard Space Flight Center Scientific

Visualization Studio

Nov 26th Dec 20th, 2012

Mon Thur : 12:00 5:00 PM

Francis T. Marchese, Curator


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Flowexhibits five computer animations created by visualizersworking across a variety of disciplines who are concerned with themovement of matter, information, and the intersection of the two.

Their videos represent data either gathered through experiment, orgenerated by computer simulation, that illustrate motion at a rangeof topographical and time scales, from minutes for bacteria to yearsfor the Earths ocean currents.

Bacteria may move in circles, weaving S-curves, straight lines, andseemingly random dances. Julie Theriot and Fred Soos videoListeria Motilitycaptures these ballet motions of the bacterialpathogen Listeria monocytogenes, as it is propelled through a host

cells cytoplasm at approximately 75 nm/sec,rendering paths asred, glowing, and sinuous tails. In Jeff Clarks Movement inManhattan, the trajectories created by successive geolocatedpositions of tweets from mobile phone users are imaged as cometsthat streak about the midtown Manhattan gridiron. The explosiverise and fall in the number of tweets over the course of a day aredocumented in a one minute video that exposes the chaoticdynamic. A more orchestrated dynamism may be seen in CedricKiefer and Daniel Frankes video UnnamedSoundsculpture, wherethe dancers interpretive body movements of a musical score are

transmuted into an affecting sound sculpture in which thousands ofbeads, digitally attached to and immersing the dancers figure, ebband flow through space with every move. Kristian Kloeckls Trainsin Time video tracks the flow of trains on the French NationalRailway Corporations (SNCF) high speed rail network during thecourse of a week. Using real-time data from imbedded sensorsthroughout the SNCF track network, it highlights those trains thatare behind schedule, impeding the flow of thousands of passengers

through the system. Finally, Perpetual Ocean by the NASA/

Goddard Space Flight Center Scientific Visualization Studio is avisualization of the flow of tens of thousands of the Earths oceancurrents synthesized from data gathered over an one and a halfyear period. Combining observational data with mathematicalmodel, the video provides a realistic illustration of both the orderand the chaos of the circulating waters that populate Earths ocean.


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Listeria MotilityThe Listeria Motilityvideo presents two Listeria monocytogenesbacteria (green) in motion, each with a red comet tail highlighting itstraversed path. This work was produced by Fred Soo as part of hisPhD research with Dr. Julie Theriot at Stanford University tounderstand how polymerization of the protein actin drives themovement of bacterial pathogens. Actin filaments are made up ofprotein monomers - individual building blocks that can be linkedtogether to form chains through polymerization. As these filamentsgrow, they exert force on Listeria monocytogenes, pushing it

forward from the outside, causing the bacterium to rocket ahead,leaving behind a comet tail of short tangled actin-filaments whichshrink (depolymerize) over time.

Listeria Motilityresults from Soo and Theriots research into thedevelopment of new software designed to automatically track largenumbers of bacteria undergoing actin-based motility. Beginningwith an image sequence of bacterial motion, this softwarecalculated bacteria speed, average actin density, and average pathcurvature. The centroid position of the bacterium for every frame in

the movie was then superimposed on a single pseudo-coloredfluorescence image of the bacteriums body (green) and its actin-containing comet tail (red). The bacteriums actin comet-tail liesalong the previously traversed path, the fluorescence intensity ofwhich decreases with distance from the end of the bacterium. Thisprovides a streaking effect seen in the video.


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2005

Julie A. TheriotFred Soo

Dept of BiochemistryStanford University

Stanford, CA 94305

[email protected]://cmgm.stanford.edu/theriot/

Reference

Soo FS, Theriot JA, 2005, "Large-scale quantitative analysis of

sources of variation in the actin polymerization-based movement of

Listeria monocytogenes." Biophys J. 89(1): 703-23.


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Movement in ManhattanMovement in Manhattan explores the flow of people fromapproximately 34

thStreet to Central Park South. Geolocated tweets

were used to track movement of individuals. The video representseach tweet as a comet streaking across Manhattan, compressing24 hours of tweets taken Monday, April 30

th,2012 into a one minute

video.

Jeff Clark is a professional software developer with interests in datamining, statistical analysis, and visualization. His video is an

experiment in illustrating the uncertainty in the flow of information.His initial inspiration for this project came from Fernanda Viegasand Martin Wattenberg's interactive, real-time Wind Map

1of the

United States, but the final rendering in Movement in Manhattanwas inspired by Michael Kreil's Fireflies

2video of the movement of

881 iPhones in Europe.

Geolocated tweets forMovement in Manhattan were collected withthe Twitter4J

3programming library, which used code written in the

Processing4

programming language. Code from a flow field sample

by Daniel Shiffman5 was used as a starting point to create the flowmaps. The background map is from OpenStreetMap

6.


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2012

Jeff Clark

http://neoformix.com/[email protected]

References

1Viegas F and Wattenberg M, Wind Map. Retrieved Oct. 24, 2012

from http://hint.fm/wind/.

2Kreil M, Fireflies HD. Retrieved Oct. 24, 2012 from

http://crowdflow.net/2011/07/12/fireflies-hd/.

3Twitter4J. Retrieved Oct. 24, 2012 from

http://twitter4j.org/en/index.html.

4Processing. Retrieved Oct. 24, 2012 from http://processing.org/.

5Shiffman D, Flow Field. Retrieved Oct. 24, 2012 fromhttp://www.shiffman.net/itp/classes/nature/week06_s09/flowfield/.

6OpenStreetMap. Retrieved Oct. 24, 2012 from

http://www.openstreetmap.org/.


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Unnamed SoundsculptureCedric Kiefer works in generative design, a formulism in whichdesign output is created by a set of rules or an algorithm; andDaniel Franke is an artist, designer, and music video director.Together they created UnnamedSoundsculpture, a mesmerizingvideo based on recorded motion data of the dancer Laura Keil asshe interpreted the musical piece Kreukeltape by Machinenfabriek.Depth cameras captured both the dancer and the three-dimensional sonic space in which she performed, providing thefoundation for a point cloud digital representation of the dancers

body. This model was fed into a 3D animation program in which avirtual camera could be positioned at will, and react to the recordedsound, so as to drive its motion, thus enhancing the expressivedance performance.

Three Microsoft Kinect depth cameras captured the dancersmovements. The intersection of these images was later assembledinto a file containing a three-dimensional volume composed of a22,000 point cloud digital representation of the dancers body. Thisdataset was exported to Krakatoa, a volumetric particle

manipulation and rendering toolkit developed by ThinkboxSoftware. Finally, the Krakatoa particle files were loaded into

Autodesk 3ds Max for further rendering and creation of the 3Dscenes, including camera movement, that was controlled by theaudio channel.


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2012

1Cedric Kiefer

2Daniel Franke

In cooperation with:Laura Keil (Dancer)

http://www.onformative.com/work/unnamed-soundsculpture/

1Onformative

Libauer Strae 1610245 Berlin

http://www.onformative.com/[email protected]

[email protected]


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Trains in TimeTrains in Time was created by Kristian Kloeckl, an industrialdesigner, and his team at MITs Senseable City project incollaboration withSNCF (Socit Nationale des Chemins de ferfranais), the French National Railway Corporations division forresearch and innovation to investigate new ways of gaining insightinto how people access different parts of France using the country'shigh speed railway system.

Trains in Time maps the location and number of passengers who

are directly affected by delays in a rail system. It visualizes traindelays by combining a simple iconography of shape, size, andcolor, to pinpoint the position of each train and characterize itsdegree of lateness at any given moment in time on a live map ofSNCFs train network. With this visualization a rail operator canquickly understand where many passengers are affected by traindelays, and utilize this information to take appropriate action,ultimately limiting delay per passenger, and increasing overallpassenger satisfaction.


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2011

Project LeaderKristian Kloeckl

TeamXiaoji Chen

Christian Sommer

SENSEable City LaboratoryCarlo Ratti, Director

Assaf Biderman, Associate Director

SENSEable City LaboratoryMIT 9-209

77 Massachusetts AvenueCambridge, MA 02139 USA

senseable.mit.edu

[email protected]


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Perpetual OceanPerpetual Ocean is a visualization of the tens of thousands ofocean currents covering the time period from June 2005 throughDecember 2007. Perpetual Ocean combines observational datawith advanced mathematical modeling supplied by the ECCO(Estimating the Circulation and Climate of the Ocean) project, a

joint venture between the Massachusetts Institute of Technologyand NASA's Jet Propulsion Laboratory in Pasadena, CA, thatobtains realistic representations of ocean circulation evolution. Thiscombination of data with theoretical models was among the largest

computations of its kind, resorting to supercomputing resourcesprovided by NASA's Ames Research Center in Moffett Field, CA.Data used by the ECCO project include: sea surface height, gravity,surface wind stress, sea surface temperature, sea ice concentrationand velocity data, and temperature and salinity profiles.

The Perpetual Ocean animation was created by the NASA/GoddardSpace Flight Center Scientific Visualization Studio. It began with adata set that directs three dimensional motions of the oceancurrents. Virtual particles were dropped into the ocean, allowed to

move along a currents path, and tracked over time. The animationwas created by transforming virtual particles histories into series oflines. A long line represents a particle that has moved relativelyrapidly, while a short line signifies a particle that is nearlystationary. The resulting Perpetual Ocean video was generated byfeeding this geometric data into Autodesks Maya 3D animationsoftware and finally rendering it with Pixars RenderMan.


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2011

NASA/Goddard Space Flight Center Scientific VisualizationStudio

Dr. Horace Mitchell, SVS Director

http://svs.gsfc.nasa.gov/goto?3827

AnimatorsGreg Shirah, NASA/GSFC (Lead)

Horace Mitchell, NASA/GSFC

Video EditorVictoria Weeks (HTSI)

ScientistsHong Zhang (UCLA)

Dimitris Menemenlis, NASA/JPL CalTech

Platforms/Sensors/Data SetsGTOPO30 Topography and Bathymetry

Hipparcos/Telescope/Tycho 2 CatalogueCCO2 High Resolution Ocean and Sea Ice Model (06/2006 -

12/2007)


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About Us: Pace Universitys Digital Gallery is the combinedinitiative between Paces Center for Advanced Media (CAM) andDigital Arts. It was inaugurated in Spring 2003 as a collaborationbetween the Seidenberg School of Computer Science andInformation Systems and the Fine Arts Department.

Location: Located at 163 William Street, a few blocks from CityHall, The Brooklyn Bridge, and Wall Street, Paces Digital Gallery ispart of a vital downtown NYC art scene that includes historic

architecture and national museums.

Mission: The goal of Paces Digital Gallerys is to foster thecreation and understanding of digital art for the benefit of PaceUniversity, the surrounding community, and the general public. Itfurthers Pace Universitys commitment to educational excellence,diversity, and civic involvement by exhibiting curated work ofleading digital artists, sponsoring lectures and symposia on digitalart, and publishing materials for its documentation and promotion.

Website: www.pace.edu/DigitalGallery

Directors : Francis T. Marchese & Jillian Mcdonald

Department of Fine Arts


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Acknowledgements

The Pace Digital Gallery gratefully acknowledges the support of Dr.

Amar Gupta, Dean, Seidenberg School of Computer Science and

Information Systems.


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flow catalog pdg

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