Deriving high contrast fluorescence microscopy images through low contrast noisy image stacks
| Autor: | Mayank Roy, Vishesh Dubey, Sebastian Acuña, Luis E. Villegas-Hernández, Balpreet Singh Ahluwalia, Krishna Agarwal |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0303 health sciences
Materials science business.industry media_common.quotation_subject Image processing 02 engineering and technology 021001 nanoscience & nanotechnology Noise (electronics) Article Atomic and Molecular Physics and Optics Focus stacking 03 medical and health sciences Optics Stack (abstract data type) Light sheet fluorescence microscopy Fluorescence microscope Contrast (vision) Deconvolution 0210 nano-technology business 030304 developmental biology Biotechnology media_common |
| Zdroj: | Biomed Opt Express Biomedical Optics Express |
| Popis: | Contrast in fluorescence microscopy images allows for the differentiation between different structures by their difference in intensities. However, factors such as point-spread function and noise may reduce it, affecting its interpretability. We identified that fluctuation of emitters in a stack of images can be exploited to achieve increased contrast when compared to the average and Richardson-Lucy deconvolution. We tested our methods on four increasingly challenging samples including tissue, in which case results were comparable to the ones obtained by structured illumination microscopy in terms of contrast. |
| Databáze: | OpenAIRE |
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