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Few-Photon Spectral Confocal Microscopy for Cell Imaging Using Superconducting Transition Edge Sensor
Kazuki Niwa1, Kaori Hattori1,2, Daiji Fukuda1,2
1Research Institute for Physical Measurement, National Metrology Institute of Japan, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan.
Frontiers in Bioengineering and Biotechnology
|January 3, 2022
Summary
Superconducting transition edge sensors (TES) enable ultra-sensitive, wide-band color imaging in microscopy. This photon detection method allows detailed biological sample analysis across visible to near-infrared wavelengths.
Area of Science:
- Photonics
- Microscopy
- Biotechnology
Background:
- Superconducting transition edge sensors (TES) are energy-dispersive single-photon detectors.
- TES can distinguish photon wavelengths from visible to near-infrared (NIR) without spectral dispersive elements.
Purpose of the Study:
- To demonstrate the application of TES for confocal laser scanning microscopy (CLSM).
- To achieve ultra-sensitive, wide-band wavelength range color imaging for biological samples.
Main Methods:
- A TES-based CLSM method was developed and tested on a fluorescence-labeled cell sample stained with three dyes.
- Simultaneous excitation using 405 nm and 488 nm lasers at low power.
- Spectral detection of emission signals by TES into four wavelength bands (blue, green, red, NIR).
Main Results:
- Simultaneous excitation and spectral detection of three dyes were achieved using low laser power (80 and 120 nW).
- TES categorized emission signals into four wavelength bands: up to 500 nm (blue), 500–600 nm (green), 600–800 nm (red), and 800–1,200 nm (NIR).
- RGB color and NIR images of the fluorescent cell sample were captured in a single scan with tens of photon signals per pixel in 40 ms exposure time.
Conclusions:
- TES is a viable wide-band spectral photon detector for life science applications.
- The TES-based CLSM technique offers ultra-sensitive imaging capabilities.
- This method enables detailed spectral and color imaging of biological samples.
Keywords:
confocal microscopefluorescence cell imagingphoton countingspectral imagingsuperconducting transition edge sensorMore Related Videos
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