The large-scale digital cell analysis system: an open system for nonperturbing live cell imaging

Area of Science:

• * Live cell imaging and analysis
• * Computational biology and bioinformatics
• * Microscopy techniques

Background:

• * Development of advanced live cell imaging systems is crucial for biological research.
• * Existing systems may introduce perturbations affecting cell behavior and experimental outcomes.
• * Need for open-source, extensible platforms for reproducible cell analysis.

Purpose of the Study:

• * To introduce the Large-Scale Digital Cell Analysis System (LSDCAS) as an open-source live cell imaging solution.
• * To evaluate the impact of LSDCAS imaging on cell growth kinetics and viability.
• * To compare the effects of phase-contrast and fluorescence microscopy on cell behavior within the LSDCAS framework.

Main Methods:

• * Design and implementation of a modular software system for data acquisition, management, and analysis.
• * Utilization of GNU/Linux operating system for LSDCAS software.
• * Comparative analysis of cell growth data from LSDCAS-imaged cells versus cells in CO(2) incubators.

Main Results:

• * LSDCAS demonstrated minimal perturbation on cell growth when using phase-contrast imaging.
• * Fluorescence image acquisition using LSDCAS resulted in measurable growth perturbation in the tested cell lines.
• * Cell growth data showed no significant difference between LSDCAS-imaged cells and control cells for phase-contrast microscopy.

Conclusions:

• * LSDCAS provides a non-perturbing platform for live cell imaging, particularly with phase-contrast microscopy.
• * Fluorescence imaging within LSDCAS can induce measurable changes in cell growth kinetics, necessitating careful consideration.
• * The open-source nature and graphical interface of LSDCAS facilitate its adoption in research settings.