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CyMap: Simple imaging and tracking of
        microscopic particles
             Professor Boris Vojnovic
                  Dr Paul Barber
               University of Oxford

         Challenge sponsored by:
How it works
A small, simple and versatile
technology for monitoring
microscopic objects, particles or
cells with a large field of view.

             Point-like
             light source




      Particles




     Camera chip                Continuously record          Particle signature
 (e.g. CMOS or CCD)           particle signatures across    (diffraction pattern)
                                 whole field-of-view       easily found & tracked
                                                             by machine vision
Key Features
• Small, robust and cheap
• Automated detection and control
  through tailored software
• Initially developed for cell imaging
  and tracking (see videos) across
  large field of view inside the
  incubator
• Can detect any kind of micro-
  scale, semi-transparent particle
• Large Field of View – proportional
  to size of camera chip
Particle locating software
              Signal



              Filter
                                          Decreasing
                                            detection
                                          threshold in
                        Threshold           software

Convolution




Particle
Locations
                 Can adjust how the software analyses the raw data and
                 recognizes particles for different applications – as well
                        as including algorithms for tracking etc.
We have developed a system which is:
      •   Portable, robust & cheap
      •   Flexible
          •    variable field of view: bigger camera chip = bigger field of view!
          •    Variable resolution: more pixels on camera chip = better resolution!
          •    Can image particle in cell culture vessels, microfluidic devices etc. – any
               transparent module
          •    Image any kind of semi-transparent particle
We’ve developed Software for:
      •   Live Cell Locating
      •   Live Cell Tracking
We’re hoping to find:
      •   Practical applications for live cell tracking (Cell growth within the incubator, Cell
          confluency, Colony formation, Cell motion)
      •   Live tracking of other objects or other settings?
      •   Thoughts on additional algorithms to code?
      •   New particle systems to image
      •   Any kind of new research project or direction CyMap makes possible, or ways
          to improve the technology or add additional algorithms
Parting thoughts –
          3D imaging
One of the ways we thought of
modifying the setup was to
use 2 light sources to be able
to calculate height of the
particles above the substrate –
effectively 3D imaging.

Any ideas where this might be
useful?
Or any ideas how else to
modify the setup?
Thanks to our sponsors:




And thanks to:



Remember – just use your marbles!

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CyMap Sept 12

  • 1. CyMap: Simple imaging and tracking of microscopic particles Professor Boris Vojnovic Dr Paul Barber University of Oxford Challenge sponsored by:
  • 2. How it works A small, simple and versatile technology for monitoring microscopic objects, particles or cells with a large field of view. Point-like light source Particles Camera chip Continuously record Particle signature (e.g. CMOS or CCD) particle signatures across (diffraction pattern) whole field-of-view easily found & tracked by machine vision
  • 3. Key Features • Small, robust and cheap • Automated detection and control through tailored software • Initially developed for cell imaging and tracking (see videos) across large field of view inside the incubator • Can detect any kind of micro- scale, semi-transparent particle • Large Field of View – proportional to size of camera chip
  • 4. Particle locating software Signal Filter Decreasing detection threshold in Threshold software Convolution Particle Locations Can adjust how the software analyses the raw data and recognizes particles for different applications – as well as including algorithms for tracking etc.
  • 5. We have developed a system which is: • Portable, robust & cheap • Flexible • variable field of view: bigger camera chip = bigger field of view! • Variable resolution: more pixels on camera chip = better resolution! • Can image particle in cell culture vessels, microfluidic devices etc. – any transparent module • Image any kind of semi-transparent particle We’ve developed Software for: • Live Cell Locating • Live Cell Tracking We’re hoping to find: • Practical applications for live cell tracking (Cell growth within the incubator, Cell confluency, Colony formation, Cell motion) • Live tracking of other objects or other settings? • Thoughts on additional algorithms to code? • New particle systems to image • Any kind of new research project or direction CyMap makes possible, or ways to improve the technology or add additional algorithms
  • 6. Parting thoughts – 3D imaging One of the ways we thought of modifying the setup was to use 2 light sources to be able to calculate height of the particles above the substrate – effectively 3D imaging. Any ideas where this might be useful? Or any ideas how else to modify the setup?
  • 7. Thanks to our sponsors: And thanks to: Remember – just use your marbles!