ts_ids_components.clonal_imager package

Module contents

This module contains the components for the clonal imager IDS.

Clonal Imaging

Clonal imaging is a technique used to assess the quality of cell cultures, select wells suitable for clonal expansion, and monitor the growth and morphology of clones. The monoclonality field provides a direct assessment of whether a well is suitable for further development, while the other measurements offer insights into cell growth patterns and potential issues like cell aggregation.

This information is used for selecting high-producing clones and ensuring the clonality of cell lines during biopharmaceutical production.

Results components

The ClonalImagerResult component holds the results of a clonal imaging assay, including:

• Monoclonality: A value indicating whether the well is monoclonal (derived from a single cell).

• Number of aggregates: The number of cell aggregates detected in the well.

• Number of cells: The number of individual cells identified in the well.

• Number of cell-likes: The number of objects in the image that resemble cells but cannot be definitively identified as such.

• Confluence: The percentage of the well surface covered by adherent cells.

Model ClonalImagerResult

Bases: IdsElement

Result information for a clonal imager

Show JSON schema

{
   "description": "Result information for a clonal imager",
   "type": "object",
   "properties": {
      "monoclonality": {
         "$ref": "#/definitions/RawValueUnit",
         "description": "The monoclonality of the well."
      },
      "number_of_aggregates": {
         "$ref": "#/definitions/RawValueUnit",
         "description": "The number of cell aggregates detected in each well."
      },
      "number_of_cells": {
         "$ref": "#/definitions/RawValueUnit",
         "description": "The number of individual cells detected in each well."
      },
      "number_of_cell_likes": {
         "$ref": "#/definitions/RawValueUnit",
         "description": "The number of objects detected in the image that resemble cells but are not definitively identified as such."
      },
      "confluence": {
         "$ref": "#/definitions/RawValueUnit",
         "description": "The measure of confluence (the percentage of the surface covered by adherent cells) of the well."
      }
   },
   "additionalProperties": false,
   "definitions": {
      "RawValueUnit": {
         "additionalProperties": false,
         "description": "A value with a unit, including the raw representation of the value from the primary data.",
         "properties": {
            "value": {
               "description": "A numerical value.",
               "type": [
                  "number",
                  "null"
               ]
            },
            "unit": {
               "description": "Unit for the numerical value.",
               "type": [
                  "string",
                  "null"
               ]
            },
            "raw_value": {
               "description": "The raw, untransformed value from the primary data.",
               "type": [
                  "string",
                  "null"
               ]
            }
         },
         "required": [
            "value",
            "unit",
            "raw_value"
         ],
         "type": "object"
      }
   }
}

Validators:

field confluence: RawValueUnit

The measure of confluence (the percentage of the surface covered by adherent cells) of the well.

field monoclonality: RawValueUnit

The monoclonality of the well.

field number_of_aggregates: RawValueUnit

The number of cell aggregates detected in each well.

field number_of_cell_likes: RawValueUnit

The number of objects detected in the image that resemble cells but are not definitively identified as such.

field number_of_cells: RawValueUnit

The number of individual cells detected in each well.