Andrea Biral Davide Zordan Andrea Zanella ICC2015 8 12 June 2015 London UK zanelladeiunipdit Outline Microfluidics and its applications Lab on a Chip Research interests ID: 760232
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Slide1
Transmitting Information with Microfluidic Systems
Andrea
Biral, Davide Zordan, Andrea Zanella
ICC2015 – 8-12 June 2015, London, UK
zanella@dei.unipd.it
Slide2Outline
Microfluidics and its applicationsLab on a ChipResearch interestsOur contributionTransmitting information with microfluidic circuitsPAM-like codingExperimental setupResultsConclusion
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Slide3Microfluidics
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Microfluidics is both a science and a technology that deals with the control of small amounts of fluids flowing through microchannels
Droplet microfluidicsDroplets (dispersed phase) encapsulating samples and reagents are dispersed into an immiscibile fluid (continuous phase)
Slide4Boolean microfluidic
M
Prakash
, N Gershenfeld - Science, 2007 “Microfluidic bubble logic”De Leo et al. – TCOM 2013 Communications and Switching in Microfluidic Systems: Pure Hydrodynamic Control for Networking Labs-on-a-Chip
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Slide5Our contribution
Add communication capabilities in microfluidic systemsTransmit information in a microfluidic channel by means of a PAM like modulationUse droplet length/interdistance to code the informationEvaluate system performance on a real case scenario
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Slide6Droplets generation
By changing input parameters, you can control (average) droplets length and spacing, but NOT independently!
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(volumetric flow rate
Q
d)
(volumetric flow rate Qc)
Constant (~1)
Slide7Modulation
Bit string 00 01 10 11 PAM symbols 0 1 2 3Droplet length Dispersed phase flow 0.5 1 1.5 2 [μl/min]Continuous phase flow 5 [μl/min]
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Slide8Experimental setup
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Continuous Phase
(Hexadecane + Span80)
Dispersed Phase(Water + Glycerol)
Slide9Frame processing
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Camera frame
Binary image
Lowpass
Wiener filter
Median filter
Connected components identification
Slide10Droplet lengths
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Slide11We assume that the length(
interdistance) can be modeled as a Gaussian RV The assumption can be validated comparing the empirical and theoretical CDFs
Droplets length distribution
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Slide12Symbols PDFs
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✔
✗
✗
Slide13Error probability
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Assuming equally likely symbols
Droplet-length PAM
Inter-droplet distance PAM
Slide14Wrapping up
This work:investigated the feasibility of extending communication concept to microfluidicsimplemented basic modulation technique based on length/interdistance evaluated system performance with experimental dataBoth droplet length and inter-droplet distance can carry information bitsInter-distance is generally preferable BUT, in complex network, it can vary as droplets stream along the channels See Biral & Zanella, NanoComNet 2013
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Slide15Looking forward…
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Transient characterization
Time to change modulated symbol
Related to symbol periodDepends on the “distance” between symbols symbol-dependent transmission rate
more sophisticated modulations
Combining length and
distance
Using other circuits to dynamically change droplet inter-distance
consider other performance indexes
throughput, delay, energy consumption
Slide16Transmitting Information with Microfluidic Systems
Andrea
Biral, Davide Zordan, Andrea Zanella
Any questions?
Slide17Microfluidic application:Lab on a Chip
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©
thinXXS
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icrotechnology
Slide18Microfluidic research:Tunable filters, Optical Switches,…
Switching Fiber-Optic Circuits with
Microscopic Bubbles
John Uebbing, Agilent Technologies
Chin
, L. K.; Liu, A.Q.; Zhang, J.B.; Lim, C. S.; Soh, Y. C., "An on-chip liquid tunable grating using multiphase droplet microfluidics," Applied Physics Letters , vol.93, no.16, pp.164107,164107-3, Oct 2008
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