US 11,836,950 B2
Quality metrics for automatic evaluation of dual ISH images
Jeffrey Atchison, Campbell, CA (US); Jim Martin, Mountain View, CA (US); and Anindya Sarkar, Milpitas, CA (US)
Assigned to Ventana Medical Systems, Inc., Tucson, AZ (US)
Filed by Ventana Medical Systems, Inc., Tucson, AZ (US)
Filed on Feb. 22, 2021, as Appl. No. 17/181,700.
Application 17/181,700 is a continuation of application No. 16/226,692, filed on Dec. 20, 2018, granted, now 10,964,063.
Application 16/226,692 is a continuation of application No. 15/659,652, filed on Jul. 26, 2017, granted, now 10,181,180, issued on Jan. 15, 2019.
Application 15/659,652 is a continuation of application No. PCT/EP2016/051903, filed on Jan. 29, 2016.
Claims priority of provisional application 62/110,215, filed on Jan. 30, 2015.
Prior Publication US 2021/0201536 A1, Jul. 1, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G06K 9/00 (2022.01); G06T 7/90 (2017.01); G06T 5/50 (2006.01); G06T 7/00 (2017.01); G06T 5/00 (2006.01); G02B 21/36 (2006.01)
CPC G06T 7/90 (2017.01) [G06T 5/003 (2013.01); G06T 5/50 (2013.01); G06T 7/0002 (2013.01); G06T 7/0014 (2013.01); G02B 21/367 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/10148 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30168 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A computer system for determining the most suitable z-layer in a z-stack of digital images, the z-stack of digital images depicting different layers of a single sample, comprising one or more processors and one or more memories, the one or more memories storing non-transitory computer-readable instructions for execution by the one or more processors to cause the one or more processors to: (a) compute (i) one or more focus metrics for each z-layer within the z-stack of digital images, and (ii) one or more color separation metrics for each z-layer within the z-stack of digital images; and (b) evaluate the computed one or more focus metrics and/or the computed one or more color separation metrics to determine a most suitable z-layer within the z-stack, wherein the computed one or more focus metrics comprise a focus quality score for each z-layer, wherein the focus quality score is derived from one or more focus features in an image tile derived from the z-stack of digital images, and wherein the one or more focus features are selected from the group consisting of: (i) a mean/median of the 0th Difference of Gaussian (“DoG”) layer for all dot pixels in the image tile; (ii) a mean/median of the 0th DoG layer for all black dot pixels in the image tile; (iii) a mean/median of the max DoG values of the 0th layer for all dot blobs in the image tile; and (iv) a mean of the top DoG values for the 0th layer for all dot blobs in the image tile.