Benchtop instrument that automatically builds a database of images, metrics, and methods and materials to ensure centralized capture and retention of data
Automated cell imaging system with an integrated 50-plate CO2 incubator, gives researchers unprecedented imaging and analysis capabilities to gain deep insights into cell and tissue dynamics
A centralized location for storing and archiving your captured data that generates informed quantitative reports on cell confluency, cell growth, scratch gap area recolonization, and viral plaque counts
Scope of the crisis
Concern over the rigor and reproducibility of biomedical research has raised concerns in recent years across academic and industry laboratories, biomedical journals, and government funding agencies. Numerous cases have been reported in which initial, promising results with a candidate drug could not be repeated in other labs.
The CellAssist brings new capabilities for reproducible cell, tissue, and suspension culture
Cell, tissue, and suspension culture has remained a largely manual process with inadequate tools for improving quantification and documentation. Fortunately, the CellAssist instrument provides many of the capabilities needed to improve rigor and reproducibility of cell, tissue and suspension culture and cell-based assays.
Technical Note – Variability in Cell Confluency: Comparison of Human and CellAssist Assessments
Title:
Good Science Needs Good Cells: Thrive Bioscience
Authors:
Published:
Silicon Review, August 2020
Quote:
“As a result of customers having the CellAssist, when an experiment does not work as planned, a researcher can now review all of their cells and processes and understand why. This is key to good science. Because good science needs good cells.”
Title:
The costs of using unauthenticated, over-passaged cell lines: How much more data do we need?
Authors:
Peyton Hughes, Damian Marshall, Yvonne Reid, Helen Parkes & Cohava Gelber
Published:
BioTechniques, November 2007
Quote:
“Based on submissions to major cell repositories in the last decade, it is estimated that between 18% and 36% of cell lines may be contaminated or misidentified.”
Title:
Fixing problems with cell lines
Authors:
Leonard P. Freedman, Iain M. Cockburn, Timothy S. Simcoe
Published:
Science, December 19th, 2014
Quote:
“Despite the important role of cell, tissue and suspension culture in the study of biology and medicine, evidence has accumulated that cell lines are frequently misidentified or contaminated by other cells or microorganisms.”
“Analyses of a variety of tissue culture collections and cells sent to repositories for curation and storage from labs in the United States, Europe, and Asia suggest that at least 15% of cell lines are misidentified or contaminated (4, 5).”
Title:
The Economics of Reproducibility in Preclinical Research
Authors:
Jon R. Lorsch, Francis S. Collins, Jennifer Lippincott-Schwartz
Published:
PLOS Biology, June 5, 2015
Quote:
“The history of cell lines used in biomedical research is riddled with misidentification and cross-contamination events [29], which have been estimated to range from 15% to 36% [30].”
“Lifesaving therapies are being delayed, research budgets face increasing pressure, and drug development and treatment costs are rising. Improving reproducibility remains a critical cornerstone to solving each of these challenges.”
Title:
In cancer science, many “discoveries” don’t hold up
Authors:
Sharon Begley
Published:
Reuters, March 28, 2012
Quote:
Title:
Imaging in Developmental Biology: An Essential Tool with No Instructions
Authors:
Guillermo Marques, Thomas Pengo, and Mark A. Sanders
Published:
Journal of Biomolecular Techniques, December 2019
Quote: