Özet
Autofocusing has critical importance for imaging systems with motorized microscopes in healthcare. It is not possible to diagnose on a picture that captured out of focus. In the literature, it has been observed that there are limited studies on focusing methods specific to fluorescent microscopes. In this study, a focus metric is proposed special to fluorescent microscope images. The proposed metric evaluates the responses generated by gradient filters of varying kernel size at a pixel point, and takes into account their standard deviations. The proposed method was tested on lung and breast tissue samples obtained with fluorescent microscope, and experimental results were reported. It is shown that the developed method overperforms the local gradient filters and produces an average error of 0.16 levels.
Tercüme edilen katkı başlığı | A Statistical Focusing Metric for Fluorescent Microscopy |
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Orijinal dil | Türkçe |
Ana bilgisayar yayını başlığı | 2022 30th Signal Processing and Communications Applications Conference, SIU 2022 |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Elektronik) | 9781665450928 |
DOI'lar | |
Yayın durumu | Yayınlandı - 2022 |
Etkinlik | 30th Signal Processing and Communications Applications Conference, SIU 2022 - Safranbolu, Turkey Süre: 15 May 2022 → 18 May 2022 |
Yayın serisi
Adı | 2022 30th Signal Processing and Communications Applications Conference, SIU 2022 |
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???event.eventtypes.event.conference??? | 30th Signal Processing and Communications Applications Conference, SIU 2022 |
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Ülke/Bölge | Turkey |
Şehir | Safranbolu |
Periyot | 15/05/22 → 18/05/22 |
Bibliyografik not
Publisher Copyright:© 2022 IEEE.
Keywords
- auto focusing
- Brenner gradient
- Fluorescent microscope