US 11,892,390 B2
Automated real-time particle characterization and three-dimensional velocimetry with holographic video microscopy
David G. Grier, New York, NY (US); Fook Chiong Cheong, Singapore (SG); and Ke Xiao, Elmhurst, NY (US)
Assigned to New York University, New York, NY (US)
Filed by NEW YORK UNIVERSITY, New York, NY (US)
Filed on Apr. 24, 2020, as Appl. No. 16/858,399.
Application 15/665,126 is a division of application No. 15/090,519, filed on Apr. 4, 2016, granted, now 9,719,911, issued on Aug. 1, 2017.
Application 15/090,519 is a division of application No. 13/254,403, granted, now 9,316,578, issued on Apr. 19, 2016, previously published as PCT/US2010/021045, filed on Jan. 14, 2010.
Application 16/858,399 is a continuation of application No. 15/665,126, filed on Jul. 31, 2017, granted, now 10,634,604.
Claims priority of provisional application 61/171,199, filed on Apr. 21, 2009.
Claims priority of provisional application 61/145,402, filed on Jan. 16, 2009.
Prior Publication US 2020/0319086 A1, Oct. 8, 2020
This patent is subject to a terminal disclaimer.
Int. Cl. G01N 15/14 (2006.01); G02B 21/00 (2006.01); G03H 1/00 (2006.01); G01N 15/00 (2006.01)
CPC G01N 15/1475 (2013.01) [G01N 15/1429 (2013.01); G01N 15/1434 (2013.01); G01N 15/1459 (2013.01); G02B 21/008 (2013.01); G02B 21/0056 (2013.01); G02B 21/0068 (2013.01); G03H 1/0005 (2013.01); G01N 15/1484 (2013.01); G01N 2015/003 (2013.01); G01N 2015/0065 (2013.01); G01N 2015/1445 (2013.01); G01N 2015/1454 (2013.01); G01N 2015/1493 (2013.01); G01N 2015/1497 (2013.01); G03H 2001/005 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method of characterizing a parameter of a sample by holographic microscopy, comprising the steps of:
receiving holographic image data of the sample from a storage medium;
determining a first estimate of the number of objects in the holographic image data, each object associated with a set of concentric bright and dark rings;
determining, for each set of concentric bright and dark rings, by a voting algorithm, a centroid defined by an approximate x, y position in a plane, with each pixel of the image data voting for pixels in a transformed image that may be centroids;
determining an estimate of the axial position (z) of each of the objects;
determining by Lorenz-Mie analysis an estimate of each of the objects' radius and refractive index;
using holographic image data from the sample to characterize properties of the sample and generate information characteristic of the parameters of the sample; and
comparing the estimate of each object's radius with control holographic image data corresponding to a known radius of a control object.