This subproject is one of many research subprojects utilizing theresources provided by a Center grant funded by NIH/NCRR. The subproject andinvestigator (PI) may have received primary funding from another NIH source,and thus could be represented in other CRISP entries. The institution listed isfor the Center, which is not necessarily the institution for the investigator.The DiDAC system is now in routine use on four LANL flow cytometers (two phase sensitive flow cytometers, the three-laser system and the rapid mix kinetics cytometer) as well as on the demonstration flow cytometer used to teach a lab on instrumentation principles during the Annual Course in flow cytometry taught in part by the NFCR staff. All the DiDAC systems are running on the Intel platform under the LINUX 6.1 operating system. This system has revolutionary capabilities for very fast and sophisticated control of the operation of all of our cytometers, as well as four-way sorting and waveform recording of the raw data pulses. The design of DiDAC I has been frozen and design of a new generation data acquisition system has begun. DiDAC I uses technologies that are ~6 years old resulting in physically complex modules. One objection of commercial flow cytometer manufacturers to DiDAC I has been that each detector requires an expensive, large format board. Drawing on the experience gained in the DiDAC I development, design of a second-generation system is well underway. The prototype circuit boards will be fabricated by the end of the Resource year. DiDAC II is built around a commercial digital signal processor board that has a stackable bus format. The NFCR designed boards that contain the analog to digital converters and associated circuitry will plug directly into the stack. Boards for four detectors will fit in a 4 x 6 x 6 inch volume. Use of a programmable DSP processor enables a high degree of flexibility in signal processing via software that is not available in DiDAC I.
| Frumkin, Jesse P; Patra, Biranchi N; Sevold, Anthony et al. (2016) The interplay between chromosome stability and cell cycle control explored through gene-gene interaction and computational simulation. Nucleic Acids Res 44:8073-85 |
| Cushing, Kevin W; Piyasena, Menake E; Carroll, Nick J et al. (2013) Elastomeric negative acoustic contrast particles for affinity capture assays. Anal Chem 85:2208-15 |
| Johnson, Leah M; Gao, Lu; Shields IV, C Wyatt et al. (2013) Elastomeric microparticles for acoustic mediated bioseparations. J Nanobiotechnology 11:22 |
| Micheva-Viteva, Sofiya N; Shou, Yulin; Nowak-Lovato, Kristy L et al. (2013) c-KIT signaling is targeted by pathogenic Yersinia to suppress the host immune response. BMC Microbiol 13:249 |
| Ai, Ye; Sanders, Claire K; Marrone, Babetta L (2013) Separation of Escherichia coli bacteria from peripheral blood mononuclear cells using standing surface acoustic waves. Anal Chem 85:9126-34 |
| Sanders, Claire K; Mourant, Judith R (2013) Advantages of full spectrum flow cytometry. J Biomed Opt 18:037004 |
| Piyasena, Menake E; Austin Suthanthiraraj, Pearlson P; Applegate Jr, Robert W et al. (2012) Multinode acoustic focusing for parallel flow cytometry. Anal Chem 84:1831-9 |
| Austin Suthanthiraraj, Pearlson P; Piyasena, Menake E; Woods, Travis A et al. (2012) One-dimensional acoustic standing waves in rectangular channels for flow cytometry. Methods 57:259-71 |
| Vuyisich, Momchilo; Sanders, Claire K; Graves, Steven W (2012) Binding and cell intoxication studies of anthrax lethal toxin. Mol Biol Rep 39:5897-903 |
| Chaudhary, Anu; Ganguly, Kumkum; Cabantous, Stephanie et al. (2012) The Brucella TIR-like protein TcpB interacts with the death domain of MyD88. Biochem Biophys Res Commun 417:299-304 |
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