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A 2D cell segmentation protocol for monitoring multiple STAT signaling pathways by fluorescence microscopy
Gergő Szanda1, Éva Wisniewski1, László Barna2
1Gill Institute for Neuroscience, Program in Neuroscience, Department of Psychological and Brain Sciences Indiana University, Bloomington, IN 47405, USA; Department of Physiology, Semmelweis University Medical School, Budapest 1094, Hungary.
This study presents a cost-effective protocol for high-fidelity cell segmentation, enabling accurate monitoring of signal transducer and activator of transcription (STAT) signaling pathways using conventional methods.
Area of Science:
- Cell Biology
- Microscopy
- Molecular Signaling
Background:
- Traditional cell segmentation is complex, requiring specialized equipment and computational methods.
- Monitoring intracellular signaling pathways like STAT signaling often demands sophisticated techniques.
Purpose of the Study:
- To develop a high-fidelity protocol for nucleus and cytoplasm segmentation in cell cultures.
- To apply this protocol for monitoring interferon-induced signal transducer and activator of transcription (STAT) signaling.
- To offer a cost-effective alternative to current segmentation and signaling monitoring methods.
Main Methods:
- Detailed guidelines for sample preparation, image acquisition, and segmentation using conventional techniques.
- Application of the protocol to monitor interferon-induced STAT signaling.
- Comparison with neural-network-based segmentation approaches.
Main Results:
- The developed protocol achieves high-fidelity nucleus and cytoplasm segmentation.
- Performance is comparable to neural-network-based segmentation methods.
- Enables simultaneous monitoring of two STAT isoforms using conventional equipment.
Conclusions:
- This protocol provides a reliable and cost-effective method for cell segmentation and STAT signaling analysis.
- It is adaptable for other nucleo-cytoplasmic shuttling molecules and high-throughput applications.
- Improves upon existing assays for STAT signaling monitoring.
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