Colony contrast gathering

Patent metadata

Field	Value
Publication number	US-10692216-B2
Application number	US-201916681333-A
Country	US
Kind code	B2
Filing date	Nov 12, 2019
Priority date	Apr 23, 2015
Publication date	Jun 23, 2020
Grant date	Jun 23, 2020

Abstract

An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

First claim

The invention claimed is:

1. A system for identifying growth in a culture media inoculated with a biological sample and disposed in an optically transparent container, the system comprising:
an image acquisition device for capturing digital images of the culture media;
memory storing information regarding the captured digital images; and
one or more processors operable to execute instructions to perform the following instructions:
when an inoculated culture media received from an incubator is received into the image acquisition device, obtaining a first digital image of the inoculated culture media at a first time (to), the first digital image having a plurality of pixels;
determining coordinates of the pixels in the first digital image relative to the optically transparent container carrying the inoculated culture media;
upon further incubation of the inoculated culture media, the inoculated culture media is again received into the image acquisition device and the one or more processors execute the following steps:
obtaining a second digital image of the inoculated culture media at a second time (tx), the second digital image having a plurality of pixels;
aligning the first digital image with the second digital image, such that the coordinates of a pixel in the second digital image correspond to the coordinates of a corresponding pixel in the first digital image;
comparing the pixels of the second digital image with corresponding pixels of the first digital image;
identifying pixels that changed between the first digital image and the second digital image, wherein the pixels that have not changed between the first digital image and the second digital image are indicative of background;
determining which of the identified pixels in the second digital image have a predetermined level of threshold contrast with the pixels that are indicative of background;
identifying one or more objects in the second digital image, each object consisting of pixels that meet the predetermined level of threshold contrast and that are not separated from each other by background pixels;
for at least one of the identified objects, determining a morphology of the object from the pixels of the object; and
from the morphology of the object, determining whether the object is a colony candidate;

and providing to memory the coordinates of the pixels associated with the object.

2. The system of claim 1 wherein the one or more processors are operable to execute the following instructions:
obtaining object features from information about the pixels associated with an identified object, wherein the object features comprise at least one of object shape, object size, object edge and object color, wherein the morphology of the identified object is determined based on the object features.

3. The system of claim 2 wherein the object color is determined from spectral features of the pixels associated with the identified object.

4. The system of claim 3 wherein the spectral features are selected from the group consisting of pixel color, hue, luminance and chrominance.

5. The system of claim 2 wherein the one or more processors are operable to execute the following instruction:
obtaining background feature information, wherein background feature information comprises media type and media color; and
determining the morphology of the identified object based on the background feature information.

6. The system of claim 5 wherein the one or more processors are operable to execute the following instructions:
comparing the object features and background feature information with object features and background feature information stored in the memory; and
determining a type of microorganism based on the object features and background feature information.

7. The system of claim 1 wherein the one or more processors are operable to execute the following instructions:
aligning the first digital image with the second digital image by assigning polar coordinates to pixels of each of the first and second digital images such that the polar coordinates of pixels in the second digital image are the same polar coordinates as the polar coordinates of corresponding pixels in the first digital image.

8. The system of claim 1 wherein the one or more processors are operable to execute the following instructions:
identifying pixel information in the first digital image that is evidence of condensation on the optically transparent container or plated media; and
subtracting from the pixel information in the first digital image the pixel information attributed to condensation.

9. The system of claim 8 wherein the one or more processors are operable to execute the following instructions:
identifying condensation in the digital image for which an illumination source was directed upward toward a bottom of the optically transparent container; and
subtracting, from the image, pixel information for those pixels having an optical density below a predetermined threshold value.

10. The system of claim 1 wherein the one or more processors are operable to execute the following instructions:
identifying pixel information in either of the first and second digital images that is evidence of dust; and
subtracting from the pixel information the pixel information attributed to dust.

11. The system of claim 1 wherein the one or more processors are operable to execute the following instructions:
obtaining a third digital image of the inoculated culture media wherein the third digital image is obtained at a time between the time at which the first digital image is acquired and the time at which the second digital image is acquired, wherein the inoculated culture media is removed from the imaging acquisition device and placed in the incubator between obtaining the first and second digital images and between obtaining the second and third digital images;
aligning the third digital image with the first digital image, such that the polar coordinates of pixels in the third digital image are the same polar coordinates as the polar coordinates of corresponding pixels in the first digital image;
comparing the pixels of the third and second digital images with one another; and

identifying pixels that changed between the third and second digital images.

12. The system of claim 11 wherein the one or more processors are operable to execute the following instructions:
associating at least one of the identified objects with the identified pixels that changed between the third and second digital images.

13. The system of claim 1 wherein the one or more processors are operable to execute the following instructions:
obtaining a third digital image of the inoculated culture media wherein the third digital image is obtained after a time at which the second digital image is obtained, wherein the inoculated culture media is removed from imaging apparatus and placed in the incubator between a time at which the second and third digital images are obtained;
aligning the third digital image with the first and second digital images, such that the polar coordinates of pixels in the third digital image are the same polar coordinates as the polar coordinates of corresponding pixels in the first and second digital images;
comparing the pixels of the third and second digital images with one another;
identifying pixels that changed between the second and third digital images; and
determining that an object identified in the second digital image has changed in the third digital image based on the compared pixels of the second and third digital images that were identified to have changed.

Assignees

• Bd Kiestra Bv

Inventors

• Wiles Timothy M
• Marcelpoil Raphael Rodolphe

Classifications

• G06F18/214

  Generating training patterns; Bootstrap methods, e.g. bagging or boosting · CPC title

• G06V10/40

  Extraction of image or video features · CPC title

• G06T2207/20056

  Discrete and fast Fourier transform, [DFT, FFT] · CPC title

• G06V20/69

  Microscopic objects, e.g. biological cells or cellular parts · CPC title

• G01N21/31

  Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry {(G01N21/72 takes precedence)} · CPC title