US 12,360,130 B2
Integrated consumable data management system and platform
Jacob N. Wohlstadter, Palm Beach Gardens, FL (US); Manish Kochar, Rockville, MD (US); Peter J. Bosco, Rockville, MD (US); Bandele Jeffrey-Coker, Darnestown, MD (US); Eric M. Jones, Frederick, MD (US); Gary I. Krivoy, Rockville, MD (US); Aaron H. Leimkuehler, Upper St. Clair, PA (US); Kim-Xuan Nguyen, Montgomery Village, MD (US); Pankaj Oberoi, Rockville, MD (US); Louis W. Pang, Sandy Spring, MD (US); Jennifer Parker, Frederick, MD (US); Victor Pellicier, Monrovia, MD (US); Nicholas Sammons, Rockville, MD (US); George Sigal, Rockville, MD (US); Michael L. Vock, Willington, DE (US); Stanley T. Smith, Schwenksville, PA (US); Carl C. Stevens, Silver Spring, MD (US); Rodger D. Osborne, Stuart, FL (US); Kenneth E. Page, Martinsburg, WV (US); Michael T. Wade, Urbana, MD (US); Xinri Cong, Germantown, MD (US); and Kin Ng, New Carrollton, MD (US)
Assigned to MESO SCALE TECHNOLOGIES, LLC., Rockville, MD (US)
Filed by MESO SCALE TECHNOLOGIES, LLC., Rockville, MD (US)
Filed on Jul. 18, 2023, as Appl. No. 18/354,382.
Application 18/354,382 is a continuation of application No. 17/679,663, filed on Feb. 24, 2022, granted, now 11,733,254.
Application 17/679,663 is a continuation of application No. 15/746,688, granted, now 11,300,579, issued on Apr. 12, 2022, previously published as PCT/US2016/043755, filed on Jul. 22, 2016.
Claims priority of provisional application 62/195,956, filed on Jul. 23, 2015.
Prior Publication US 2024/0094233 A1, Mar. 21, 2024
Int. Cl. G01N 35/00 (2006.01); B01L 3/00 (2006.01); B01L 9/00 (2006.01); F24F 11/30 (2018.01); G06K 7/14 (2006.01); G06Q 10/087 (2023.01); G06Q 10/10 (2023.01); G16H 10/40 (2018.01); G16H 40/40 (2018.01); G16H 40/67 (2018.01); H04B 1/3827 (2015.01)
CPC G01N 35/0099 (2013.01) [B01L 3/50853 (2013.01); B01L 9/523 (2013.01); F24F 11/30 (2018.01); G06K 7/1413 (2013.01); G06Q 10/087 (2013.01); G06Q 10/10 (2013.01); G16H 10/40 (2018.01); G16H 40/40 (2018.01); G16H 40/67 (2018.01); B01L 2200/143 (2013.01); B01L 2300/021 (2013.01); G01N 2035/00356 (2013.01); G05B 2219/40269 (2013.01); H04B 1/3827 (2013.01)] 46 Claims
OG exemplary drawing
 
1. A method for training a robotic controlled probe of an assay system comprising the steps of:
positioning a training plate sized and dimensioned to the size and dimensions of an assay plate in a plate carrier inside the assay system, wherein the position of said training plate is known in a three-dimensional coordinate system,
moving the robotic controlled probe toward a reference pad on said training plate, wherein said reference pad corresponds to a well in said assay plate,
obtaining a first location of said reference pad using a capacitance between the robotic controlled probe and said reference pad in said three-dimensional coordinate system, and
assigning said first location as one dimension in said three-dimensional coordinate system for the robotic controlled probe.