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Future stem cell analysis: progress and challenges towards state-of-the art approaches in automated cells analysis
Nurul Syahira Mohamad Zamani1, Wan Mimi Diyana Wan Zaki1, Zariyantey Abd Hamid2
1Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Department of Electrical, Electronic and Systems Engineering, UKM Bangi, Selangor, Malaysia.
Peerj
|December 27, 2022
Summary
Modern automated cell analysis offers less laborious, cost-effective, and accurate methods for researchers. This review highlights advancements and research gaps in generic and stem cell analysis, paving the way for AI-driven solutions.
Area of Science:
- Cell biology
- Biotechnology
- Medical imaging
Background:
- Traditional cell analysis methods are time-consuming and labor-intensive.
- There is a growing need for automated and efficient cell analysis techniques.
- Microscopic imaging is crucial for cell type identification, counting, and size measurement.
Conclusions:
- The review identifies research gaps in generic and stem cell analysis.
- Findings can guide the development of automated cell analysis systems.
- Artificial intelligence and deep learning are key technologies for future advancements.
