US 11,741,731 B2
Automated parasite analysis system
Pavel Vácha, Prague (CZ); Petr Jankuj, Prerov (CZ); Richard Josef Marhoefer, Worms (DE); Václav Belák, Prague (CZ); Jindrich Soukup, Prague (CZ); Brunhilde Schölzke, Mainz (DE); and Britta von Oepen, Waldalgesheim (DE)
Assigned to Intervet Inc., Madison, NJ (US)
Filed by Intervet Inc., Madison, NJ (US)
Filed on Jul. 18, 2022, as Appl. No. 17/867,613.
Application 17/867,613 is a continuation of application No. 16/442,310, filed on Jun. 14, 2019, granted, now 11,423,679.
Application 16/442,310 is a continuation of application No. 16/039,147, filed on Jul. 18, 2018, granted, now 10,372,967, issued on Aug. 6, 2019.
Prior Publication US 2022/0351531 A1, Nov. 3, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 20/00 (2022.01); G06V 20/69 (2022.01); G06T 7/00 (2017.01)
CPC G06V 20/698 (2022.01) [G06V 20/693 (2022.01); G06V 20/695 (2022.01); G06T 7/0012 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/30004 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A parasite analysis system comprising:
a material reservoir configured to store a biological sample;
an imaging cell controllably connected to the material reservoir and configured to receive a portion of the biological sample from the material reservoir;
a camera configured to capture a chronological set of images of the portion of the biological sample in the imaging cell; and
an image analysis system configured to:
identify candidate patches in at least a subset of the chronological set of images that are candidates for depicting a parasite;
filter the candidate patches based on a comparison of locations of the candidates patches to locations of candidate patches in images immediately before and/or after the candidate patches;
generate, based on the filtered candidate patches, parasite counts for the subset of the chronological set of images, each parasite count indicating a number of parasites detected in a corresponding image of the chronological set of images; and
generate, based on the parasite counts, an estimate of a number of parasites in the portion of the biological sample, wherein the estimate of the number of parasites in the portion of the biological sample is based on the locations of the candidate patches that depict a parasite.