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SLAS Technology

Published By Elsevier

  • LATEST MANUSCRIPTS IN SLAS Technology
  • Tal Murthy, Jamien Lim. Life sciences discovery and technology highlights. SLAS technology. 2023, 28 (6): 381-383
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  • Nathan Ho, Kaitlyn Tang, Vy Ngo, Isabella Livits, Alayne Morrel, Bari Noor, Kaylee Tseng, Eun Ji Chung. Nanoparticles-based technologies for cholera detection and therapy. SLAS technology. 2023, 28 (6): 384-392
    Cited : 1
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  • Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat, Niranjana Sampathila, Shashikiran Umakanth, Sudhakara Upadya P. COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: A case study from Ecuador. SLAS technology. 2023, 28 (6): 393-410
    Cited : 3
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  • Catherine S Hansel, Alice Lanne, Hannah Rowlands, Joseph Shaw, Matthew J Collier, Helen Plant. High-throughput differential scanning fluorimetry (DSF) and cellular thermal shift assays (CETSA): Shifting from manual to automated screening. SLAS technology. 2023, 28 (6): 411-415
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  • Kimerly A Powell, Laura R Bohrer, Nicholas E Stone, Bradley Hittle, Kristin R Anfinson, Viviane Luangphakdy, George Muschler, Robert F Mullins, Edwin M Stone, Budd A Tucker. Automated human induced pluripotent stem cell colony segmentation for use in cell culture automation applications. SLAS technology. 2023, 28 (6): 416-422
    Cited : 2
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  • Martin Trossbach, Emma Åkerlund, Krzysztof Langer, Brinton Seashore-Ludlow, Haakan N Joensson. High-throughput cell spheroid production and assembly analysis by microfluidics and deep learning. SLAS technology. 2023, 28 (6): 423-432
    Cited : 3
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  • Akira Ohta, Shunsuke Kawai, Yann Pretemer, Megumi Nishio, Sanae Nagata, Hiromitsu Fuse, Yukiko Yamagishi, Junya Toguchida. Automated cell culture system for the production of cell aggregates with growth plate-like structure from induced pluripotent stem cells. SLAS technology. 2023, 28 (6): 433-441
    Cited : 2
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  • Claire S Wilson, Bhavya Vashi, Pavol Genzor, Melissa K Gregory, Jason Yau, Lauren Wolfe, Michael J Lochhead, Phil Papst, Kristen Pettrone, Paul W Blair, Subramaniam Krishnan, Josh G Chenoweth, Danielle V Clark. Point-of-care biomarker assay for rapid multiplexed detection of CRP and IP-10. SLAS technology. 2023, 28 (6): 442-448
    Cited : 1
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  • George A Van Den Driessche, Devin Bailey, Evan O Anderson, Michael A Tarselli, Len Blackwell. Improving protein therapeutic development through cloud-based data integration. SLAS technology. 2023, 28 (5): 293-301
    Cited : 3
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  • Chia-Wei Liu, Hideaki Tsutsui. Sample-to-answer sensing technologies for nucleic acid preparation and detection in the field. SLAS technology. 2023, 28 (5): 302-323
    Cited : 4
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  • Rupert Dodkins, John R Delaney, Tess Overton, Frank Scholle, Alba Frias-De-Diego, Elisa Crisci, Nafisa Huq, Ingo Jordan, Jason T Kimata, Teresa Findley, Ilya G Goldberg. A rapid, high-throughput, viral infectivity assay using automated brightfield microscopy with machine learning. SLAS technology. 2023, 28 (5): 324-333
    Cited : 4
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  • Georg Hinkel, Jörg Kunert, Jason Meredith. The Tecan SiLA2 SDK: A royalty-free, open-source framework to develop SiLA2 servers and clients. SLAS technology. 2023, 28 (5): 334-344
    Cited : 3
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  • Joao Paulo Pera Mendes, Ninghao Zhu, Pak Kin Wong. A sticky-end probe biosensor for homogeneous detection of transcription factor binding activity. SLAS technology. 2023, 28 (5): 345-350
    Cited : 1
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  • Ichiji Namatame, Kana Ishii, Takashi Shin, Daisuke Shimojo, Yukiko Yamagishi, Hidemitsu Asano, Yuuki Kishimoto, Hiromitsu Fuse, Yohei Nishi, Hidetoshi Sakurai, Tatsutoshi Nakahata, Haruna Sasaki-Iwaoka. Screening Station, a novel laboratory automation system for physiologically relevant cell-based assays. SLAS technology. 2023, 28 (5): 351-360
    Cited : 1
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  • Kristy A Terrell, Gregory D Sempowski, Andrew N Macintyre. Development and validation of an automated assay for anti-drug-antibodies in rat serum. SLAS technology. 2023, 28 (5): 361-368
    Cited : 0
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