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User-assisted iteration of cell image segmentation

A cell and image technology, used in image analysis, image enhancement, image data processing, etc.

Pending Publication Date: 2022-04-12
LEICA BIOSYST IMAGING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, acquired images may contain artifacts, such as features from dust on the sample or slide, or images may have been acquired with focus that varied laterally across the sample

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  • User-assisted iteration of cell image segmentation
  • User-assisted iteration of cell image segmentation
  • User-assisted iteration of cell image segmentation

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Embodiment Construction

[0057] In the following detailed description, for purposes of explanation and not limitation, specific details are set forth in order to better understand the present disclosure. It will be apparent to those skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details.

[0058] In this document we use the term segmentation to denote the subdivision of an image (which can be 2D or 3D) into linked groups of pixels or voxels in order to identify cells and / or cellular features of interest. (Segmentation can also identify pixels or voxels that are not of interest, such as the background.) For more details on segmentation, see:

[0059] • Textbook Gonzalez and Woods "Digital Image Processing" 3rd Edition (2008), Chapter 1, pp. 3-18, ISBN 013168728. Its entire content is incorporated herein by reference.

[0060] Segmentation can be based on thresholding, region growing and / or edge detection. Segmentation can involve ...

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Abstract

The segmentation of the cell image data acquires cell segmentation data for a cell nucleus, a cytoplasm, and a cell membrane displayed on an image pane. A data pane is also displayed containing a table having cell-specific rows and columns specific to cell attributes. In an edit session, a user may select a cell for deletion from a data pane or an image pane. The image pane is updated in response to the selection via the data pane, and the data pane is updated in response to the selection via the image pane. At any time, the user may command the re-segmentation while taking into account an edit that starts from a version of previous cell nucleus segmentation data that has been edited to remove data related to the selected cells for deletion, and then determine cytoplasm and cell membrane segmentation data therefrom.

Description

technical field [0001] The present disclosure relates to methods and apparatuses for segmenting cell images, in particular methods and apparatuses for correcting errors in automatic segmentation. Background technique [0002] Imaging tissue to identify cells and their characteristics is an important application of microscopy. A pathological image is an image representing tissue. Using conventional visible light microscopy, two-dimensional (2D) images can be acquired from individual tissue sections mounted on glass slides. 2D images can also be generated by synthesizing (ie, combining) multiple adjacent tissue sections, where each section is differently stained or fluorescently labeled in order to highlight different cell types and / or cellular features. Three-dimensional (3D) images can be generated from multiple adjacent tissue sections acquired with a conventional visible light microscope. 3D images can also be generated by acquiring a series of vertically shifted images...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/00
CPCG06T7/11G06T7/0012G06T2207/30024G06T2207/20101
Inventor C·鲁那C·里昂
Owner LEICA BIOSYST IMAGING