Live cell imaging is the method to study live cells with the help of images taken from imaging systems, including high content screening systems and microscopes. Scientists use this method to better understand the cell's biological function by examining the cellular dynamics. In recent years, various researchers have broadly accepted the technology of live cell imaging to gain better knowledge about cell biology. The increasing concern of cancer is one of the significant factors behind the rising demand for this technology. Furthermore, the government is prominently taking initiatives to invest in cell-based research. In addition, live cell imaging has a wide range of applications, and it can be used to understand dynamic processes and cellular structures. Moreover, it can also study cellular integrity, localization of molecules, enzyme activity, protein trafficking, exocytosis, and endocytosis. However, the cost of applying live cell imaging is huge, which is acting as a constraint for the market growth. The Live Cell Imaging Market is anticipated to grow at the rate of 8.9% CAGR by 2027.
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Live Cell Imaging Market based on Product
- Equipment
- Consumable
- Software
Live Cell Imaging Market based on Application
- Cell Biology
- Developmental Biology
- Stem Cell & Drug Discovery
- Others
Live Cell Imaging Market based on Technology
- Time-lapse Microscopy
- Fluorescence recovery after photobleaching (FRAP)
- Fluorescence resonance energy transfer (FRET)
- High content screening (HCS)
- Others
Live Cell Imaging Market based on Geography
- North America
- Europe
- Asia Pacific
- Rest of the World
Based on the product, the equipment segment has dominated the market. However, immense researchbeing carried out to develop microscopes of higher resolution is likely to boost the segment growth. Advanced technologies such as inverted research-grade microscopes have allowed imaging of adherent cells and organelles and produce outcomes for tissue sections of less than 5 um thickness. Advanced developments are also enabling imaging of the cells in spatial resolutions within a time range.
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