Method for imaging and differential analysis of cells

• US 8,571,295 B2
• Filed: 03/13/2013
• Issued: 10/29/2013
• Est. Priority Date: 03/16/2004
• Status: Active Grant

• Current Assignee: Cytek Biosciences Inc
• Original Assignee: Amnis Corporation (DiaSorin S.p.A.)
• Inventors: George, Thaddeus C., Basiji, David A., Hall, Brian E., Ortyn, William E., Seo, Michael J., Morrissey, Philip J., Zimmerman, Cathleen A.
• Primary Examiner(s): Bella, Matthew
• Assistant Examiner(s): HEIDEMANN, JASON E
• Application Number:
  US13/802,439
• Publication Number:
  US 20130202183A1
• Time in Patent Office: 230 Days
• Field of Search: None
• US Class Current: 382/133
• CPC Class Codes: G01N 15/1433 using image recognition
• CPC Class Codes: G01N 2021/6423 Spectral mapping, video display
• CPC Class Codes: G01N 2021/6439 with indicators, stains, dyes, tags, labels, marks
• CPC Class Codes: G01N 2021/6482 Sample cells, cuvettes
• CPC Class Codes: G01N 21/47 Scattering, i.e. diffuse reflection G01N21/25, G01N21/41 take precedence G01N21/55 takes precedence
• CPC Class Codes: G01N 21/645 Specially adapted constructive features of fluorimeters
• CPC Class Codes: G01N 21/6456 Spatial resolved fluorescence measurements; Imaging
• CPC Class Codes: G06V 20/69 Microscopic objects, e.g. biological cells or cellular parts
• CPC Class Codes: G06V 20/698 Matching; Classification

Abstract

Provided are methods for determining and analyzing photometric and morphometric features of small objects, such as cells to, for example, identify different cell states. In particularly, methods are provided for identifying apoptotic cells, and for distinguishing between cells undergoing apoptosis versus necrosis.

Claims

1. A method for distinguishing late apoptotic cells from necrotic cells, comprising:

based on images of a population of cells, identifying a group of cells that are either of a necrotic type or a late apoptotic type; and

grouping cells in the population into a group of late apoptotic cells and a group of necrotic cells based on a brightfield image area of the cells and a darkfield peak intensity area of the cells, as determined from the images of the cells, where cells are identified as being in the group of late apoptotic cells if the cells have both a low brightfield area and a high darkfield peak intensity, and as being in the group of necrotic cells if the cells have both a high brightfield area and a low darkfield peak intensity.

2. The method of claim 1, wherein there is relative motion between the cells and a detector used to produce images of the population of cells.

3. The method of claim 1, wherein the cells in the group of late apoptotic cells are characterized as having a high texture in the brightfield image area, while the cells in the group of necrotic cells are characterized as having a low texture in the brightfield image area.

4. The method of claim 1, further comprising determining a spatial frequency in the darkfield peak intensity area for the population of cells, to further assist in grouping the cells in the population of cells into either the group of late apoptotic cells or the group of necrotic cells.

5. The method of claim 4, further comprising using the spatial frequency darkfield peak intensity area is an indicator of internal cell complexity or cell granularity of the cells in the population of cells, wherein the cells in the group of necrotic cells are characterized as having a relatively lower complexity compared to the cells in the group of late apoptotic cells.

6. The method of claim 5, further comprising calculating the spatial frequency in the darkfield peak intensity area by computing a standard deviation of individual pixel intensities within a segmented dark field image mask for the images of the population of cells.