Unstained blood smear contrast enhancement using spectral time multiplexing super resolution
| Autor: | Marie-Florence A. Yebouet, KA Kaduki, Ambroise K. Diby, Jeremie T. Zoueu |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Computer science multispectral Multispectral image diffraction malaria lcsh:Analytical chemistry Image processing super resolution Multiplexing Analytical Chemistry Speckle pattern image contrast Microscopy medicine Computer vision time multiplexing Spectroscopy lcsh:QD71-142 business.industry Speckle noise Filter (signal processing) Spectral imaging image processing blood smear speckle reduction transfer function Artificial intelligence business |
| Zdroj: | Journal of Spectral Imaging, Vol 9, p a1 (2020) |
| ISSN: | 2040-4565 |
| Popis: | We report the use of Time Multiplexing Super Resolution (TMSR) to reduce significantly speckle noise in spectral imaging microscopy of unstained thin blood smear samples of malaria-infected blood. The method is based on combining speckle illumination with a moving array serving as an encoding mask. We propose the use of a new encoding mask to improve the performance of the conventional TMSR method. The new mask is a two-dimensional generalisation of the one- dimensional Ipatov code. The mask is projected on the object and 13 low-resolution images captured and subsequently decoded properly using the same array. The low contrast images are added and extracted from the resulting reconstruction, giving a super-resolved, high-contrast image. The Ipatov filter used in this work performs better than the Barker filter. |
| Databáze: | OpenAIRE |
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