Dynamic spectral fluorescence microscopy via event-based & CMOS image-sensor fusion

We present a widefield fluorescence microscope that integrates an event-based image sensor (EBIS) with a CMOS image sensor (CIS) for ultra-fast microscopy with spectral distinction capabilities. The EBIS achieves a temporal resolution of ∼10<i>μ</i>s (∼ 100,000 frames/s), while the CIS provides diffraction-limited spatial resolution. A diffractive optical element encodes spectral information into a diffractogram, which is recorded by the CIS. The diffractogram is processed using a deep neural network to resolve the fluorescence of two beads, whose emission peaks are separated by only 7 nm and exhibit an 88% spectral overlap. We validate our microscope by imaging the capillary flow of fluorescent beads, demonstrating a significant advancement in ultra-fast spectral microscopy. This technique holds broad potential for elucidating foundational dynamic biological processes.

Authors

Publication Details

Journal
Optics Express
Published
2024-12-23
DOI
https://doi.org/10.1364/oe.545667
Citations
3
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
Field-Weighted Citation Impact
0.63

Funders

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article

Dynamic spectral fluorescence microscopy via event-based & CMOS image-sensor fusion

Rajesh Menon, Apratim Majumder, Robert D. Baird
3 citations
Optics Express
CCD and CMOS Imaging Sensors
0.63
article

Dynamic spectral fluorescence microscopy via event-based & CMOS image-sensor fusion

Rajesh Menon, Apratim Majumder, Robert D. Baird
article en
3 citations

Abstract

We present a widefield fluorescence microscope that integrates an event-based image sensor (EBIS) with a CMOS image sensor (CIS) for ultra-fast microscopy with spectral distinction capabilities. The EBIS achieves a temporal resolution of ∼10<i>μ</i>s (∼ 100,000 frames/s), while the CIS provides diffraction-limited spatial resolution. A diffractive optical element encodes spectral information into a diffractogram, which is recorded by the CIS. The diffractogram is processed using a deep neural network to resolve the fluorescence of two beads, whose emission peaks are separated by only 7 nm and exhibit an 88% spectral overlap. We validate our microscope by imaging the capillary flow of fluorescent beads, demonstrating a significant advancement in ultra-fast spectral microscopy. This technique holds broad potential for elucidating foundational dynamic biological processes.

Optics ExpressVol. 33(2)
Chan Zuckerberg Initiative
Affordable and clean energy
Openalex Percentile: Top 30%
CCD and CMOS Imaging Sensors
0.63
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