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Published on: May 14, 2018
Live-cell fluorescence imaging
1Department of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.
Abstract:
This chapter examines the ways to optimize the signal-to-noise ratio while keeping the specimen healthy. Live cells expressing fluorescent protein fusions are usually dim compared to fixed specimens, both because the fluorescent proteins are not very bright and because there is, in most cases, only one fluorophores per protein. It is also favorable to choose cells that are expressing low levels of fluorescent protein fusions to minimize the difference from the levels of the endogenous protein in vivo. Long camera exposure times, which allow accumulation of weak signals, must be often avoided to reduce photobleaching and phototoxicity and to acquire images quickly enough to capture cell dynamics. Choices, such as objective lens and camera, determine the signal-to-noise ratio of an imaging system. Optimizing the imaging system to maximize signal and minimize noise is critical for live-cell fluorescence imaging. Imaging with high signal-to-noise ratio will allow detection of low concentrations of fluorescent fusion proteins with illumination conditions that are less likely to damage cells. Automation of an imaging system allows collection of multidimensional data while helping to maintain focus and minimize specimen exposure to light. Under all imaging conditions, maintaining and verifying cell health is essential to the validity of the experimental results.
Insights
Optimizing live-cell fluorescence imaging requires maximizing signal-to-noise ratio to detect dim fluorescent proteins. Careful selection of equipment and imaging parameters is crucial for maintaining cell health and acquiring dynamic data.
Area of Science:
- Live-cell fluorescence imaging
- Cellular biology
- Microscopy techniques
Background:
- Live cells expressing fluorescent protein fusions are often dim, challenging imaging.
- Low fluorophore concentration and protein levels impact signal detection.
- Long exposures risk phototoxicity and photobleaching, hindering dynamic studies.
Purpose of the Study:
- To outline strategies for optimizing signal-to-noise ratio (SNR) in live-cell fluorescence imaging.
- To ensure specimen health during imaging.
- To enable detection of low-concentration fluorescent fusion proteins.
Main Methods:
- Careful selection of objective lenses and cameras to enhance SNR.
- Minimizing camera exposure times to reduce phototoxicity and photobleaching.
- Utilizing automated imaging systems for multidimensional data acquisition and focus maintenance.
Main Results:
- Optimized imaging systems achieve high SNR, allowing detection of low fluorescent protein concentrations.
- Reduced illumination intensity and exposure times preserve cell health.
- Automation facilitates rapid, high-quality data collection crucial for cell dynamics.
Conclusions:
- Maximizing SNR is critical for successful live-cell fluorescence imaging.
- Strategic equipment choices and imaging parameter optimization are essential.
- Maintaining cell health is paramount for experimental validity.

