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Cell Counting and Image Cytometry

Single Colony Identification

Section
Celigo Applications
Celigo Applications
Cell Counting Method Selection
Cell Counting and Image Cytometry FAQs
Cell-based Assays for Bioprocessing
Cell-based Assays for Gene Therapy Development
Cellometer Applications
Modern Virology Assays
Sub Section
Cell Line Development
3D Cell Models
Assays for Virology Research
Brightfield Applications
Celigo Cell Counting Applications
Celigo Fluorescent Assays
Celigo Image Cytometer Direct Cell Counting Assays for Immunotherapy
Cell Line Development
Migration and Invasion Assays
iPSC Reprogramming
Topic
Single Colony Identification
Single Cell Per Well Verification
Single Colony Identification
Single Tumor Sphere Identification
Transfection and Transduction

Cell line development – Single cell detection, clonal validation, transfection

Cell line development process

The process of developing a cell line to produce a specific protein or antibody involves multiple stages, all of which can be greatly aided by Celigo image cytometer.

Transfection

  • Determine transfection efficiency
  • Monitor stability of transfection

Stabilized Outgrowth

  • Monitor growth in wells
  • Identify confluent wells for passaging
  • Increase growth with media optimization

Monoclonality

  • Verify efficiency of limiting dilution, or single cell dispensing
  • Identify single cell per well

Colony Outgrowth

  • Confirm single colony
Single cell into single colony

Whole well images: Single cell to single colony

Robotic integration for cell line development

The Celigo provides an optional robotic API which can be controlled by various automation scheduling software applications. The Celigo is ready for integration with multiple automation partners and can be coupled with robotic arms, automated incubators and liquid handlers.

The Celigo can be used through the whole process of cell line development.

  • Compatible with 96-, 384- and 1536-well plates.
  • Identify wells with a single colony to avoid the time-consuming and manual identification of clones by eye.
  • Measures colony size using brightfield and aids the process of selecting wells for clonal expansion.
  • Automate cell line generation process with Celigo robotic integration.

Cell line characterization

Cell line characterization

Brightfield imaging

Brightfield images can be viewed from the cell, well or plate level.

Determine growth characteristics of cells directly from the same well over time.

Acquire, review and document captured hi-res brightfield images

Cell line characterization growth curve

Generate growth curves

Report growth curves, cell counts, confluence, doubling time and doubling rate for each well.

384 well plate

384-well plate

Media optimization experiment using a single 384-well plate

  • Providing additional nutrients to media can help increase proliferation rates.
  • Evaluated media supplements using an 8-parameter design of experiment (DoE) methodology, where 3 reagents were mixed in multiple combinations.
  • On day 0, 10 CHO-S per well were plated with supplement combinations using a 384-well plate, which allowed 35 replicates per condition.
  • Three supplement reagents were tested on one 384-well plate for n=35 per condition

Monitoring monoclonality and outgrowth

Cell line monoclonaity adherent

Adherent Cells

Cell line monoclonaity suspension

Suspension Cells


Dual-channel brightfield and fluorescent imaging of a single cell in a 96-well plate allows identification of candidate wells for clone development.

Cell line single colony FL counts

Single Cell Fluorescent Counts

Identify wells with a single cell on the first day

Cell line single colony BF counts

Single Colony Brightfield Counts

Identify wells with a single colony on the final day

Cell line plate

Heat Map: Single Cell & Single Colony

Overlay single cell plate map with single colony plate map to produce the heat map of a single cell and single colony.


For research use only. Not for use in diagnostic procedures.