Difference between revisions of "Citizen Science/Open Spectrophotometer Project/Documentation"

From OpenWetWare
Jump to: navigation, search
m (Spectrometric data format)
m (Targeted biological samples)
 
(4 intermediate revisions by 2 users not shown)
Line 12: Line 12:
  
 
==Spectrometric data format==
 
==Spectrometric data format==
 +
* JCAMP format:
 +
** [http://hackberry.trinity.edu/IJC/instructions/jcamp.html JCAMP format]
 +
** [http://wwwchem.uwimona.edu.jm/software/jcmpsum.html JCAMP DX format]
 +
** [http://wwwchem.uwimona.edu.jm/spectra/specindex.html JCAMP display applet]
 +
 
* XML/RDF based
 
* XML/RDF based
 
** [http://dx.doi.org/10.1016/S1535-5535(04)00168-6 SpectroML Standard (2004)]
 
** [http://dx.doi.org/10.1016/S1535-5535(04)00168-6 SpectroML Standard (2004)]
Line 27: Line 32:
 
** Still difficult to use as it is difficult to collect a quantity large enough
 
** Still difficult to use as it is difficult to collect a quantity large enough
 
** Reliable collection a problem too  
 
** Reliable collection a problem too  
* '''Sperm'''
 
** very socially awkward - many cultural, religious issues associated
 
* '''Breast Milk'''
 
** Same social issues as above, to a lesser extent maybe
 
** Limited 'Market': lactating women only
 
 
* '''Saliva'''
 
* '''Saliva'''
 
** Few practical collection problems
 
** Few practical collection problems
Line 60: Line 60:
 
* Web2.0 Service-like
 
* Web2.0 Service-like
 
* Open API
 
* Open API
 +
* Existing Spectroscopy Databases:
 +
** [http://www.lohninger.com/spectroscopy/dball.html Database listing]
 +
** UV-Vis:
 +
*** [http://chrom.tutms.tut.ac.jp/JINNO/DRUGDATA/00alphabet.html UV-Vis Spectra for Drugs]
 +
*** [http://www.science-softcon.de/uv-vis.htm UV Vis Softcon]
 +
 +
 +
* Papers:
 +
** [http://dx.doi.org/10.1016/S1381-141X(97)80007-X Development of in-house spectral-data manipulation programs following quality guides ]
 +
** ...
  
 
==Data visualisation==
 
==Data visualisation==
 +
* keywords from the 'Call for Projects'
 +
** [http://en.wikipedia.org/wiki/Rube_Goldberg_machine Rube Goldberg machines]
 +
** [http://en.wikipedia.org/wiki/Pataphysics Pataphysics]
 
* Processing-based
 
* Processing-based
 +
** [http://www.processing.org/exhibition/index.html Processing.org/exhibition/]
 +
* Tangible / physical / machines
 +
** [http://en.wikipedia.org/wiki/Fountain_(Duchamp) Duchamp's fountain]
 +
** [http://infosthetics.com/archives/2008/11/visible_sound_graph_sewing_machine.html data-sewing-machine]
  
 
==Data Analysis==
 
==Data Analysis==
 
* Data Analysis will play an important role in the second part of the project , that is the construction of the Web 2.0 Service
 
* Data Analysis will play an important role in the second part of the project , that is the construction of the Web 2.0 Service
 
* More on our apporach to data analysis can be found on [[Citizen Science/Open Spectrophotometer Project/Documentation/Data_Analysis | Data Analysis]]
 
* More on our apporach to data analysis can be found on [[Citizen Science/Open Spectrophotometer Project/Documentation/Data_Analysis | Data Analysis]]

Latest revision as of 06:30, 18 October 2011

Open Spectrophotometer Project

Open-Spectrophotometer-Project-Banner.jpg

Home        Documentation        Application form        Resources

<html> <body>

<!-- Start of StatCounter Code --> <script type="text/javascript"> var sc_project=4270054; var sc_invisible=1; var sc_partition=46; var sc_click_stat=1; var sc_security="d09c9961"; </script>

<script type="text/javascript" src="http://www.statcounter.com/counter/counter.js"></script><noscript><div class="statcounter"><a title="web statistics" href="http://www.statcounter.com/free_web_stats.html" target="_blank"><img class="statcounter" src="http://c.statcounter.com/4270054/0/d09c9961/1/" alt="web statistics" ></a></div></noscript> <!-- End of StatCounter Code -->

</body> </html>

Spectrophotometer design

  • Technology
    • LED-based
    • CCD detector
    • diffraction grating
  • Calibration
  • Computer interface

Spectrometric data format

Targeted biological samples

For our project, we aim to target one of the most accessible human bodily fluids:

  • Sweat
    • Still difficult to use as it is difficult to collect a quantity large enough
    • Reliable collection a problem too
  • Saliva
    • Few practical collection problems
    • 23andME
    • Saliva Analysis is used to detect the level of hormones or drugs. But there is little a spectrophotometer can do to help (no correlation between a health issue and opacity, color or any such criterion).
  • Blood
    • Also Practical, although collection a bit harder
    • Anyone got a link to a 23andMe-like project?
    • Spectrophotometry may be of limited use, but of use nonetheless.
    • To know more about Blood Analysis
  • Urine
    • Also practical
    • Anyone got a link to a 23andMe-like project?
    • This is the bodily fluid for which spectrophotometry may be of most use.
    • To know more about Urine Analysis


NB: There are also some internal bodily fluids (but they are not practical to use), including

  • cerebrospinal fluid surrounding the brain and the spinal cord
  • synovial fluid surrounding bone joints
  • intracellular fluid is the fluid inside cells
  • aqueous humour and vitreous humour the fluids in the eyeball.

A full (and very long) list of the human bodily fluids can be found on Wikipedia

Open Dataset Repository design


Data visualisation

Data Analysis

  • Data Analysis will play an important role in the second part of the project , that is the construction of the Web 2.0 Service
  • More on our apporach to data analysis can be found on Data Analysis