Neal A Zupec

20050050943, Mar 10, 2005

Sep 8, 2003

10/657407

Tom Barber - Salem WI, US
Jim Lenart - Barrington IL, US
Neal Zupec - Spring Grove IL, US

G01M003/04

073040700

The present invention provides a leak testing method and system therefore for any type of filtering device employing hollow fibers, such as filtration of aqueous or gaseous fluids, ultrafiltration of particulate materials and dialysis of blood. In an embodiment, the leak test is employed in testing a bundle of fibers placed in a dialyzer. The dialyzer includes a blood inlet and a blood outlet, wherein blood flows through the inside of a plurality of hollow fibers. Dialysate flows into the dialyzer through an inlet port, around the outside of the hollow fibers and out of the dialyzer through an outlet port. The test employs a dry aerosol that is injected into the blood inlet, outlet or both, wherein a particle counter counts particles that pass through the fiber walls and exit one or both the dialysate ports. If the counter detects more than an acceptable amount of particles, the dialyzer has a leak.

20210150699, May 20, 2021

Dec 23, 2020

17/132812

- Deerfield IL, US
- Glattpark (Opfikon), CH
- Evanston IL, US
Kirk Andrew Ashline - Third Lake IL, US
Neal Anthony Zupec - Spring Grove IL, US

G06T 7/00
G01N 15/14
G06T 7/215

Systems and methods for automated detection and classification of objects in a fluid of a receptacle such as, for example, a soft-sided receptacle such as a flexible container. The automated detection may include initiating movement of the receptacle to move objects in the fluid contained by the receptacle. Sequential frames of image data may be recorded and processed to identify moving objects in the image data. In turn, at least one motion parameter of the objects may be determined and utilized to classify the object into at least one of a predetermined plurality of object classes. For example, the object classes may at least include a predetermined class corresponding to bubbles and a predetermined class corresponding to particles.

20190066288, Feb 28, 2019

Aug 24, 2018

16/111897

- Deerfield IL, US
- Glattpark, CH
Neal Zupec - Spring Grove IL, US

G06T 7/00
H04N 5/225
G06T 7/136
G01N 21/90
G01N 21/88

An automated visual inspection system for detecting the presence of particulate matter includes an empty, flexible container, a light source, a detector, and an image processor. The light source is configured to transmit light through the container towards the detector, and the detector is configured to receive the light and generate image data. The image processor is configured to analyze the image data, determine whether the empty, flexible container is defective, and generate a rejection signal if the empty, flexible container is defective.

20150213616, Jul 30, 2015

Jan 27, 2015

14/606582

- Deerfield IL, US
- Opfikon, CH
- Evanston IL, US
Kirk Andrew Ashline - Third Lake IL, US
Neal Anthony Zupec - Spring Grove IL, US

G06T 7/20
G06T 7/00
H04N 5/232
G01N 21/17
H04N 7/18

Systems and methods for automated detection and classification of objects in a fluid of a receptacle such as, for example, a soft-sided receptacle such as a flexible container. The automated detection may include initiating movement of the receptacle to move objects in the fluid contained by the receptacle. Sequential frames of image data may be recorded and processed to identify moving objects in the image data. In turn, at least one motion parameter of the objects may be determined and utilized to classify the object into at least one of a predetermined plurality of object classes. For example, the object classes may at least include a predetermined class corresponding to bubbles and a predetermined class corresponding to particles.