Neurosphere differentiating into a neuron, imaged on the CellAssist in a 96-well round-bottom plate at 10x in bright-field
CellAssist measures cell growth through doubling time measurement:
HEK293, and A549 in each well of a 6 well plate. Images were collected every 4 hours for a period of 5 days. During the course of this experiment, 27 standard scans (4x brightfield) were collected, and automatically analyzed for confluence by the CellAssist software.
Objective metrics, and images for consistent decision-making
CellAssist objectively measures confluence in the center, and more difficult to read outer ring of the well:
CellAssist improves quality, and documentation of cells
Problem: Current tools do not collect images, and data along with tools that enable users to visualize outliers. Outliers are important because they may indicate problems in quality that require investigation.
Objective: Document, and analyze images, and data on cells over time to improve quality, and reproducibility of cell, tissue, and suspension culture.
CellAssist Solution: CellAssist provides comparable data over time that allows for identification of outliers.
(In this example, upon further investigation, the customer found cases of mislabeling.)
(Statistical anomaly highlighted)
CellAssist improves quality, and increases yields by using data to grade, and pick colonies
Problem: Gene editing transfection rates can be poor, so it is important that monoclonal colonies be selected for passaging.
Objective: Accurately determine whether a colony is monoclonal by capturing series of time lapse images with excellent registration across scans.
CellAssist Solution: The CellAssist time-lapse imaging enables the lineage of candidate colonies to be tracked to a single starting cell.
Morphological assays do not disturb cell growth
Problem: Differentiation of neuronal progenitor cells into glial cells was measured using fluorescence-based end point assays, which did not allow for further growth, and study of the cells. An equivalent assay was needed based on imaging of live cells.
Objective: Acquire high resolution images that are comparable over time in order to study differentiation without dyes, and/or probes that interfere with the cells and colonies.
CellAssist Solution: The CellAssist’s high resolution stacks of images, with highly accurate registration across scans, enabled the characterization of cell morphology without disturbing the cells, and colonies.
Problem: (a) The coating of plates can profoundly affect the survivability, and growth of colonies (in this case gene edited ones starting with very small quantities). (b) Some coatings are also significantly more expensive.
Objectives: Compare two coatings to choose the optimal one by characterizing, and comparing the cells under both conditions over time. (b) Tailor, test, and directly compare the impacts of new protocols to select the best coating, AND protocol.
CellAssist Solution: The CellAssist’s documentation, colony counting curves, and examination of images are used to characterize the number of colonies for each condition, and the results are collated, and easily compared across conditions.