Liquid Handling Optimization in High-Throughput Biodosimetry Tool

被引:5
|
作者
Bian, Dakai [1 ]
Tsui, Jason C. [1 ]
Repin, Mikhail [2 ]
Garty, Guy [2 ]
Turner, Helen [2 ]
Yao, Y. Lawrence [1 ]
Brenner, David J. [2 ]
机构
[1] Columbia Univ, Dept Mech Engn, New York, NY 10027 USA
[2] Columbia Univ, Med Ctr, Ctr Radiol Res, New York, NY 10032 USA
关键词
automated biodosimetry tool; micronucleus assay; platform-dependent liquid handling; MICRONUCLEUS ASSAY;
D O I
10.1115/1.4033600
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Due to the need of high-speed and efficient biodosimetric assays for triage and therapy in the event of radiological or nuclear attack, a robotically based automated biodosimetry tool (RABiT) has been developed over the past few years. Adapting the micronucleus assay from filter plates to V-shaped plates presented challenges in the liquid handling, namely, cell splashing out of the V-shaped well plate during the cell harvesting, poor cell distribution on the bottom of the image plate during the dispensing, and cell loss from the image plate during the aspiration in the liquid handling process. Experimental and numerical investigations were carried out to better understand the phenomena and mitigate the problems. Surface tension and contact angle among the fluids and the plate wall were accounted for in the discrete and multiphase numerical models. Experimental conditions were optimized based on the numerical results showing the relationship between nozzle speed and amount of splashed liquid, and the relationship between aspiration speed and number of escaped cells. Using these optimized parameters, numbers of micronuclei in binucleated cells showed the same dose dependence in the RABiT-prepared samples as those in the manually prepared ones. Micronucleus assay protocol was fully realized on RABiT.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] PLATFORM-DEPENDENT LIQUID HANDLING IN HIGH-THROUGHPUT BIODOSIMETRY TOOL
    Biani, Dakai
    Tsui, Jason C.
    Repin, Mikhail
    Garty, Guy
    Turner, Helen
    Yao, Y. Lawrence
    Brenner, David J.
    [J]. PROCEEDINGS OF THE ASME 11TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, 2016, VOL 2, 2016,
  • [2] Automated recognition of robotic manipulation failures in high-throughput biodosimetry tool
    Chen, Youhua
    Wang, Hongliang
    Zhang, Jian
    Garty, Guy
    Simaan, Nabil
    Yao, Y. Lawrence
    Brenner, David J.
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (10) : 9602 - 9611
  • [3] Development of high-throughput systems for biodosimetry
    Wilkins, Ruth C.
    Beaton-Green, Lindsay A.
    [J]. RADIATION PROTECTION DOSIMETRY, 2023, 199 (14) : 1477 - 1484
  • [4] Precise Automation for High-Throughput Liquid Handling
    Scoffin, Katriona
    [J]. AMERICAN LABORATORY, 2014, 46 (01) : 17 - 19
  • [5] Next generation platforms for high-throughput biodosimetry
    Repin, Mikhail
    Turner, Helen C.
    Garty, Guy
    Brenner, David J.
    [J]. RADIATION PROTECTION DOSIMETRY, 2014, 159 (1-4) : 105 - 110
  • [6] Making the Case for Absorbed Radiation Response Biodosimetry - Utility of a High-Throughput Biodosimetry System
    Hoffmeyer, Michaela R.
    Gillis, Kristin
    Park, Jin G.
    Murugan, Vel
    LaBaer, Joshua
    [J]. RADIATION RESEARCH, 2021, 196 (05) : 535 - 546
  • [7] High-throughput transformation of Saccharomyces cerevisiae using liquid handling robots
    Liu, Guangbo
    Lanham, Clayton
    Buchan, J. Ross
    Kaplan, Matthew E.
    [J]. PLOS ONE, 2017, 12 (03):
  • [8] The Matrix Maker: A Liquid Handling Robot for High-Throughput Protein Crystallization
    Nollert, Peter
    Ward, Laurelin
    Duncan, Natalie
    Stewart, Lance
    Mixon, Mark
    [J]. ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2007, 63 : S115 - S115
  • [9] Miniaturization of High-Throughput Epigenetic Methyltransferase Assays with Acoustic Liquid Handling
    Edwards, Bonnie
    Lesnick, John
    Wang, Jing
    Tang, Nga
    Peters, Carl
    [J]. JALA, 2016, 21 (01): : 208 - 216
  • [10] PyAMPA: a high-throughput prediction and optimization tool for antimicrobial peptides
    Ramos-Llorens, Marc
    Bello-Madruga, Roberto
    Valle, Javier
    Andreu, David
    Torrent, Marc
    [J]. MSYSTEMS, 2024, 9 (07)