
Proceedings Paper
Dynamic analysis of angiogenesis in transgenic zebrafish embryos using a 3D multilayer chip-based technologyFormat | Member Price | Non-Member Price |
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Paper Abstract
Transgenic zebrafish (Danio rerio) models of human diseases have recently emerged as innovative experimental systems in drug discovery and molecular pathology. None of the currently available technologies, however, allow for automated immobilization and treatment of large numbers of spatially encoded transgenic embryos during real-time developmental analysis. This work describes the proof-of-concept design and validation of an integrated 3D microfluidic chip-based system fabricated directly in the poly(methyl methacrylate) transparent thermoplastic using infrared laser micromachining. At its core, the device utilizes an array of 3D micro-mechanical traps to actively capture and immobilize single embryos using a low-pressure suction. It also features built-in piezoelectric microdiaphragm pumps, embryo trapping suction manifold, drug delivery manifold and optically transparent indium tin oxide (ITO) heating element to provide optimal temperature during embryo development. Furthermore, we present design of the proof-of-concept off-chip electronic interface equipped with robotic servo actuator driven stage, innovative servomotor-actuated pinch valves and miniaturized fluorescent USB microscope. Our results show that the innovative device has 100% embryo trapping efficiency while supporting normal embryo development for up to 72 hours in a confined microfluidic environment. We also present data that this microfluidic system can be readily applied to kinetic analysis of a panel of investigational anti-angiogenic agents in transgenic zebrafish Tg(fli1a:EGFP) line. The optical transparency and embryo immobilization allow for convenient visualization of developing vasculature patterns in response to drug treatment without the need for specimen re-positioning. The integrated electronic interfaces bring the Lab-on-a-Chip systems a step closer to realization of complete analytical automation.
Paper Details
Date Published: 9 March 2013
PDF: 9 pages
Proc. SPIE 8615, Microfluidics, BioMEMS, and Medical Microsystems XI, 86151B (9 March 2013); doi: 10.1117/12.2001467
Published in SPIE Proceedings Vol. 8615:
Microfluidics, BioMEMS, and Medical Microsystems XI
Holger Becker; Bonnie L. Gray, Editor(s)
PDF: 9 pages
Proc. SPIE 8615, Microfluidics, BioMEMS, and Medical Microsystems XI, 86151B (9 March 2013); doi: 10.1117/12.2001467
Show Author Affiliations
Jin Akagi, The Univ. of Auckland (New Zealand)
Feng Zhu, The Univ. of Auckland (New Zealand)
Chris J. Hall, The Univ. of Auckland (New Zealand)
Khashayar Khoshmanesh, RMIT Univ. (Australia)
Kourosh Kalantar-Zadeh, RMIT Univ. (Australia)
Feng Zhu, The Univ. of Auckland (New Zealand)
Chris J. Hall, The Univ. of Auckland (New Zealand)
Khashayar Khoshmanesh, RMIT Univ. (Australia)
Kourosh Kalantar-Zadeh, RMIT Univ. (Australia)
Arnan Mitchell, RMIT Univ. (Australia)
Kathryn E. Crosier, The Univ. of Auckland (New Zealand)
Philip S. Crosier, The Univ. of Auckland (New Zealand)
Donald Wlodkowic, The Univ. of Auckland (New Zealand)
RMIT Univ. (Australia)
Kathryn E. Crosier, The Univ. of Auckland (New Zealand)
Philip S. Crosier, The Univ. of Auckland (New Zealand)
Donald Wlodkowic, The Univ. of Auckland (New Zealand)
RMIT Univ. (Australia)
Published in SPIE Proceedings Vol. 8615:
Microfluidics, BioMEMS, and Medical Microsystems XI
Holger Becker; Bonnie L. Gray, Editor(s)
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