Archive for the ‘Plenary Session’ Category

Dr. Camille Crittenden introduced the work by her organization CITRIS (http://citris-uc.org/) which is a collaboration between four UC campus in the SF Bay area: Berkeley, Davis, Merced and Santa Cruz, on humanitarian technology innovations and applications, in four core initiatives:

  • Data and Democracy
  • Health care
  • i4Energy
  • Intelligent Infrastructures


Under those initiatives, Tech applications have been developed to solve problems in  various areas, e.g.,

  1. Human Rights
    • Crisis mapping, remote sensing, video, forensic analysis, DNA, demographic data collection & analysis
  2. Governance & Democracy
  3. Economic development
    • Microfinance through crowd-sourced loans (http://www.Kiva.org)
    • SMS – popular tool to support agricultural decision-making
  4. Healthcare
    • mHealth: mobile applications for remote diagnostics  and care, use of SMS for medical advice
  5. Infrastructure
  6. Monitoring & evaluation
    • Surveys, remote data collection for feedbacks

Innovative Technologies for participatory assessment, e.g.:

Current challenges include:

  • Poor literacy rates
  • Regional conflicts
  • Climate changes
  • Health emergencies – Ebola, H1N1 etc.
  • Uneven access to the Internet and ICTs across the World

Growing number of communities involving in ICT:

  • Research funded by government and private investors
  • New programs by:
    • USAID
    • UCB Blum center
    • Development Impact Lab
    • Development engineering
  • GHTC and similar conferences

For more information on CITRIS and their projects, please contact the speaker at:


iPhone6 436


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Google Crisis Response

Google Crisis Response

Full prezi lives here.

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Lincoln Labs

Full prezi lives here.





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Mobile Apps from Red Cross Official Site

Red Cross app rate
Full prezi lives here!

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Desi and I gave a talk! Here‘s where the Prezi lives.

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Image40M pixel camera in a mobile phone can be used to image the cells

~ 6-7 billion cell phones used worldwide

– use the HW & SW of cell phone as a new platform for telemedicine

Cell phone imaging technique 1: Light weight, compact & portable lens free super-resolution microscope

– need to place the specimen very close to the CMOS sensor, bypassing the lens on the mobile device and using separate LED light sources; prototype of fixtures on the mobile device created using 3-D printer

– Used as:

  1.  Albumin tester
  2. E. Coli sensor
  3. blood analyzer
  4. circulating tumor cell detection
  5. diagnostic test reader — complementary to OV 16 as presented by the previous speaker
  • test results can be distributed via wireless connectivity on the mobile device
  •  track diseases as a function of space & time through the valuable data collected

– CMOS imager, no lens, with computational functions on the chip

  • resolution: a few nm can be detected, e.g., viruses

– CMOS & CCD images

  • based on the Imaging of shadows
  • detect shadows of specimen
  • use to count cells (shadows)
  • similar to digital holograms
  • time-reverse re-construction iteratively

– CCD: telescope works on the same principle

– LEDs: partially coherent lights – better than laser; sunlight has been used recently

– For further details on the physics, consult publications @ http://innovate.ee.ucla.edu/

– Algorithm:

  1. iterative phase recovery as the first step
  2. FFT based
  3. time reverse the field

– push resolution to deeper sub micron

– digital holograms

– similar imaging results when compared with actual microscope

– Use case: monitor HIV patients

  • conventional equipment for CD4 count is very expensive and bulky
  • use microfludic device, e.g., LUCAS
  • based on shadows or counts
  • ratio of cells to be found
  • CD4 to CD8 ratio determines when to start the next stage of therapy
  • nano particles used to label different cellsm, e.g., gold labeled CD4 (Ag-CD4)
  • use a simple hologram

– lens free imaging with large field of view (FOV)

  • CMOS sensor: 240mm FOV this year, to be increased next year
  • increase aperture => resolution ~30mm
  • only one LED is on at any time
  • different LEDs are turned on each time
  • multi-frame super-resolution
  • different shift and synthesis using multiple frames to improve resolution
  • cell phone with high-end CMOS sensor chip FOV > 20 sq. mm, further improvement to 30 sq. mm possible

#Further information on lens free color imager to be presented ~12pm on Tuesday, during the students’ poster seesion

# Key characteristics of the cell phone CMOS camera: good resolution ~ 1mm with large FOV

  • decouple resolution from FOV with this type of imager (CMOS sensor)
  • In contrast, the conventional microscope is limited by a tradeoff between FOV and resolution

Cell phone imaging technique 2: Fluorescent imaging — very important

– No need to modify the mobile device, only need to add the external fixture

– detection of bacteria and parasites in water samples

– use blue LED and a very inexpensive filter

– labeled white blood cells counted

– captured and process samples

# Pixel counts of CMOS imaging sensor follow Moore’s law

– single virus can be detected without the need for a lot of light

– light projected at an angle instead of perpendicular to the sample to avoid direct reflections

– use of inexpensive filters

Q&A responses:

– Currently, calculations are performed on another computer offline

– possible to have computations performed on the iPad / tablet

– cost reduction: possible because of CMOS sensor – volume will drive the costs

– not tested for humidity & temperature, expected to work the same way

– Depth of field: great advantage of these techniques; modulating the shadow when the object is moved


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Catapult Design

Catapult Design

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