Application Name | Confluence Assay |
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Version | 1.0.0 |
Documentation Version | 18.09.2023 - 1 |
Input Image(s) | 2D (standard and/or WSI) / Time Series / z-Stack / Multichannel Images; RGB or Grayscale (8 bit) |
Input Parameter(s) | Regions of interest (optional) |
Keywords | confluence, in-vitro, cell growth, growth rate, regeneration, proliferation, migration, microscopy |
Short Description | Detection and measurement of the percentage of the analysed image covered by adherent cells. Cell confluence is important for determining timings for splitting and harvesting cells. |
References / Literature | For more information regarding cell confluency check e.g. https://en.wikipedia.org/wiki/Confluency or |
Table of contents
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IKOSA Prisma Confluence Assay
You can use this image analysis application or any of our other applications in your account on the IKOSA platform. If it is not in the list of available applications, please contact your organization's administrator or our team at support@kmlvisionsupport@ikosa.comai.
Application description
This application automatically measures the percentage of the analysed image covered by a monolayer of adherent cells. In addition to the percentage area covered with cells, areas that are not covered with cells are quantified. A ratio of each area (covered and uncovered) compared to the overall image size is also calculated. The application supports images from phase contrast and brightfield microscopy and arbitrary cell types. This analysis can also be performed on time lapse recordings (time series) to study directional cell migration in vitro, z-stacks, or multichannel images.
In the following sections, we provide the necessary input data requirements that are necessary to obtain accurate image analysis results and a description of the output files.
Input data requirements
Input image(s)
Input for this application is the following image data:
Image type | Color channels | Color depth (per channel) | Size (px) | Resolution (μm/px) |
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2D (standard and/or WSI), Time Series, Multichannel, Z-Stack* Check image formats | 3 (RGB) or 1 (Gray) | 8 Bit | Standard images and WSI formats: Max: 6144 x 6144 | typically: 0.3-1.16 |
Image content Microscopy (phase contrast or brightfield) image of a cell monolayer showing adherent cells, typically taken with 10x magnification. | ||||
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*Please note: Z-stack images cannot be uploaded into IKOSA but still can be analyzed via IKOSA Prisma API. |
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Important: For all images, the following requirements apply:
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Input parameter(s)
No additional input parameters are required for this application.
As an optional parameter, a single or multiple regions of interest (ROIs) can be defined in which the analysis should be performed (‘inclusion ROIs’).
Description of output files and their content
Files
File format | Description | |
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| 1 | csv | results.csv: A csv file containing the analysis results for the input image or all inclusion ROIs. |
| 2 | jpg | results_vis/vis.jpg (2D image, no ROI), or results_vis/t<time-step>_z<z-layer>_c<channel>.jpg (for time series, z-stack, or multichannel image, no ROI), or results_vis/<roi-id>.jpg (2D image, ROI <roi-id>), or results_vis/t<time-step>_z<z-layer>_c<channel>_<roi-id>.jpg (for time series, z-stack, or multichannel image, ROI <roi-id>): A visualization of the analysis result for a specific time step (of a time series), z-layer (of a z-stack), or channel (of a multichannel image) for either the whole image (if no inclusion ROIs selected for analysis) or each individual inclusion ROI. Description for visualizations:
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  Reference: Zaritsky A; Natan S; Kaplan D; Ben-Jacob E; Tsarfaty I (2015): Supplemental materials for "Live time-lapse dataset of in vitro wound healing experiments." GigaScience Database. http://dx.doi.org/10.5524/100118
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| 3 | json | annotation_results.json: JSON file containing detected cells (cell covered regions). The position is measured from the left upper corner (1,1) of the image. | ||
| 4 | json | roiMeta.json: A json file containing all information regarding the ROIs defined for the analysis job to ensure reproducibility. The file is empty if no ROIs were defined for analysis. | ||
| 5 | jpg | rois_visualization.jpg, or t<time-step>_z<z-layer>_c<channel>_rois_visualization.jpg: An overview visualization to show locations of all analyzed ROIs for the 2D image or time step <time-step> of a time series, z-layer <z-layer> of a z-stack, or channel <channel> of a multichannel image.
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| 6 | json | jobResultBundleMeta.json: A json file containing all information regarding the analysis job (application name and version, project, etc.) to ensure reproducibility.
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Please note:
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Content
results.csv
Single csv-file
If one or more time steps (of a time series), z-layers (of a z-stack), or channels (of a multichannel image) were specified, the results in a specific row refer to the time step/z-layer/channel specified in the corresponding column.
If one or more ROIs were specified, the results in a specific row refer to the ROI specified in the corresponding columns, otherwise (empty ROI columns) the results refer to the whole image.
Column NO. | Column name | Examples | Value range | Description |
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1 | t | 3 | 1 - | Time step, i.e. the position of the image in the time series. |
2 | z | 5 | 1 - | z-layer, i.e. the position of the layer in the z-stack. |
3 | c | 2 | 1 - | Channel, i.e. the position of the channel in the multichannel image. |
4 | roi_id | ROI-03 | ROI-01 - | <roi-id> starting from “ROI-01”. Empty, if no inclusion ROI is specified and the whole image was analyzed. |
5 | roi_name | “central” | text | Custom text to identify the ROI. Empty, if no inclusion ROI is specified and the whole image was analyzed. |
6 | roi_size [Px^2] | 1212212 | 1 - | Size of the ROI that was analyzed in pixels^2. The size of the whole image is given if no inclusion ROI is specified and the whole image was analyzed. |
7 | cells_covered_area [Px^2] | 1011878 | 0 - #of pixels in image | Total area with adherent cells in Pixel^2, includes cell-covered area and free/floating cells). |
8 | cells_covered_area_ratio_ratio [%] | 68.6 | 0 - 100 | Ratio of total area with adherent cells to the total area of the image. |
9 | uncovered_area [Px^2] | 36698 | 0 - #of pixels in image | Total cell-free area in Pixel^2. |
10 | uncovered_area_ratio_ratio [%] | 31.4 | 0 - 100 | Ratio of the cell-free area to total area of image. |
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Please note: The parameters marked with an asterisk (*) are calculated using https://scikit-image.org/. |
Error information
More information about errors can be found in the Application Error Documentation.
Contact
If you have any questions about this app, as well as suggestions or ideas for new ones, email us at support@kmlvisionsupport@ikosa.comai.
Feel free to book a 30-minute meeting to speak with us about IKOSA and the apps!
https://calendly.com/kmlvisionkolaido/book-the-ikosa-platform-demo