Abstract
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.
Translated title of the contribution | A Statistical Focusing Metric for Fluorescent Microscopy |
---|---|
Original language | Turkish |
Title of host publication | 2022 30th Signal Processing and Communications Applications Conference, SIU 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781665450928 |
DOIs | |
Publication status | Published - 2022 |
Event | 30th Signal Processing and Communications Applications Conference, SIU 2022 - Safranbolu, Turkey Duration: 15 May 2022 → 18 May 2022 |
Publication series
Name | 2022 30th Signal Processing and Communications Applications Conference, SIU 2022 |
---|
Conference
Conference | 30th Signal Processing and Communications Applications Conference, SIU 2022 |
---|---|
Country/Territory | Turkey |
City | Safranbolu |
Period | 15/05/22 → 18/05/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.