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A Semi-Automatic Tool for the Standardized Analysis of Fluorescent Intensity Changes in Polarized Cells
Fruzsina Fazekas1,2, Tibor Zelles1,3,4, Eszter Berekméri1,2,3
1Department of Oral Biology, Semmelweis University, 1089 Budapest, Hungary.
A new open-source program automatically defines regions of interest (ROIs) for subcellular imaging, overcoming limitations of existing software for analyzing cellular activity and intracellular messengers like calcium.
Area of Science:
- Cellular and Molecular Biology
- Neuroscience
- Biophysics
Background:
- Intracellular messenger imaging, such as calcium (Ca2+) imaging, is crucial for monitoring cellular activity and receptor activation in real-time.
- Current analysis methods are often biased by region of interest (ROI) selection and movement correction, with commercial software being expensive and inaccessible.
- Existing automated tools focus on cell somata, neglecting subcellular structures and complex cell morphologies, limiting subcellular imaging experiments.
Purpose of the Study:
- To develop and validate an automated, open-source program for defining ROIs in subcellular imaging experiments.
- To address the limitations of existing software in handling complex cell morphologies and enabling subcellular analysis.
- To provide a free, user-friendly tool for researchers conducting advanced cellular imaging.
Main Methods:
- Development of a novel program utilizing simple mathematical methods for ROI determination.
- Implementation of straightforward statistical methods for movement correction in imaging data.
- Validation of the program using cochlear Deiters' cells, known for their complex morphology and role in fluid transport.
Main Results:
- The program successfully automated the definition of ROIs for subcellular imaging, even in cells with complex structures.
- Validation experiments on Deiters' cells demonstrated the program's capability to facilitate the examination of subcellular Ca2+ handling.
- The developed tool showed promise in overcoming previous challenges in subcellular imaging analysis.
Conclusions:
- The new open-source program effectively automates ROI definition for subcellular imaging, enhancing cellular activity analysis.
- This tool offers a valuable, accessible solution for researchers studying complex cellular structures and dynamics.
- The program is expected to advance the planning and execution of subcellular imaging experiments, particularly in neuroscience and cell biology.
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