Optimizing image capture for low-light widefield quantitative fluorescence microscopy
Low-light optical imaging refers to the use of cameras to capture images with minimal photon flux. This area has broad application to diverse fields, including optical microscopy for biological studies. In such studies, it is important to reduce the intensity of illumination to reduce adverse effect...
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| Format: | Article |
| Language: | English |
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AIP Publishing LLC
2025-03-01
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| Series: | APL Photonics |
| Online Access: | http://dx.doi.org/10.1063/5.0245239 |
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| author | Zane Peterkovic Avinash Upadhya Christopher Perrella Admir Bajraktarevic Ramses E. Bautista Gonzalez Megan Lim Kylie R. Dunning Kishan Dholakia |
| author_facet | Zane Peterkovic Avinash Upadhya Christopher Perrella Admir Bajraktarevic Ramses E. Bautista Gonzalez Megan Lim Kylie R. Dunning Kishan Dholakia |
| author_sort | Zane Peterkovic |
| collection | DOAJ |
| description | Low-light optical imaging refers to the use of cameras to capture images with minimal photon flux. This area has broad application to diverse fields, including optical microscopy for biological studies. In such studies, it is important to reduce the intensity of illumination to reduce adverse effects such as photobleaching and phototoxicity that may perturb the biological system under study. The challenge when minimizing illumination is to maintain image quality that reflects the underlying biology and can be used for quantitative measurements. An example is the optical redox ratio, which is computed from autofluorescence intensity to measure metabolism. In all such cases, it is critical for researchers to optimize the selection and application of scientific cameras to their microscopes, but few resources discuss performance in the low-light regime. In this tutorial, we address the challenges in optical fluorescence imaging at low-light levels for quantitative microscopy, with an emphasis on live biological samples. We analyze the performance of low-light scientific cameras including electron-multiplying charge-coupled device, scientific complementary metal oxide semiconductor (sCMOS), and the photon-counting sCMOS architecture, termed quantitative CMOS, while considering the differences in platform architecture and the contribution of various sources of noise. The tutorial covers a detailed discussion of user-controllable parameters, as well as the application of post-processing algorithms for denoising. We illustrate these concepts using autofluorescence images of live mammalian embryos captured with a two-photon light sheet fluorescence microscope. |
| format | Article |
| id | doaj-art-16fa386d454646a98fa18c73aaa1f55e |
| institution | OA Journals |
| issn | 2378-0967 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | APL Photonics |
| spelling | doaj-art-16fa386d454646a98fa18c73aaa1f55e2025-08-20T01:55:52ZengAIP Publishing LLCAPL Photonics2378-09672025-03-01103031102031102-2810.1063/5.0245239Optimizing image capture for low-light widefield quantitative fluorescence microscopyZane Peterkovic0Avinash Upadhya1Christopher Perrella2Admir Bajraktarevic3Ramses E. Bautista Gonzalez4Megan Lim5Kylie R. Dunning6Kishan Dholakia7Centre of Light for Life and School of Biological Sciences, University of Adelaide, Adelaide, South Australia 5005, AustraliaCentre of Light for Life and School of Biological Sciences, University of Adelaide, Adelaide, South Australia 5005, AustraliaCentre of Light for Life and School of Biological Sciences, University of Adelaide, Adelaide, South Australia 5005, AustraliaCentre of Light for Life and School of Biological Sciences, University of Adelaide, Adelaide, South Australia 5005, AustraliaCentre of Light for Life and School of Biological Sciences, University of Adelaide, Adelaide, South Australia 5005, AustraliaCentre of Light for Life and The Robinson Research Institute, School of Biomedicine, University of Adelaide, Adelaide, South Australia 5005, AustraliaCentre of Light for Life and The Robinson Research Institute, School of Biomedicine, University of Adelaide, Adelaide, South Australia 5005, AustraliaCentre of Light for Life and School of Biological Sciences, University of Adelaide, Adelaide, South Australia 5005, AustraliaLow-light optical imaging refers to the use of cameras to capture images with minimal photon flux. This area has broad application to diverse fields, including optical microscopy for biological studies. In such studies, it is important to reduce the intensity of illumination to reduce adverse effects such as photobleaching and phototoxicity that may perturb the biological system under study. The challenge when minimizing illumination is to maintain image quality that reflects the underlying biology and can be used for quantitative measurements. An example is the optical redox ratio, which is computed from autofluorescence intensity to measure metabolism. In all such cases, it is critical for researchers to optimize the selection and application of scientific cameras to their microscopes, but few resources discuss performance in the low-light regime. In this tutorial, we address the challenges in optical fluorescence imaging at low-light levels for quantitative microscopy, with an emphasis on live biological samples. We analyze the performance of low-light scientific cameras including electron-multiplying charge-coupled device, scientific complementary metal oxide semiconductor (sCMOS), and the photon-counting sCMOS architecture, termed quantitative CMOS, while considering the differences in platform architecture and the contribution of various sources of noise. The tutorial covers a detailed discussion of user-controllable parameters, as well as the application of post-processing algorithms for denoising. We illustrate these concepts using autofluorescence images of live mammalian embryos captured with a two-photon light sheet fluorescence microscope.http://dx.doi.org/10.1063/5.0245239 |
| spellingShingle | Zane Peterkovic Avinash Upadhya Christopher Perrella Admir Bajraktarevic Ramses E. Bautista Gonzalez Megan Lim Kylie R. Dunning Kishan Dholakia Optimizing image capture for low-light widefield quantitative fluorescence microscopy APL Photonics |
| title | Optimizing image capture for low-light widefield quantitative fluorescence microscopy |
| title_full | Optimizing image capture for low-light widefield quantitative fluorescence microscopy |
| title_fullStr | Optimizing image capture for low-light widefield quantitative fluorescence microscopy |
| title_full_unstemmed | Optimizing image capture for low-light widefield quantitative fluorescence microscopy |
| title_short | Optimizing image capture for low-light widefield quantitative fluorescence microscopy |
| title_sort | optimizing image capture for low light widefield quantitative fluorescence microscopy |
| url | http://dx.doi.org/10.1063/5.0245239 |
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