Abstract | ||
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Photoacoustic microscopy (PAM) is a new and emerging imaging method in last decades, based on photoacoustic effect. PAM, which does not contain ionizing radiation, is used to obtain the structural and functional images of different cancer cells based on the difference of the optical absorption properties. The recorded signal in the PAM is exposed to noise due to system components and environmental sources. In this study, pre-filtering for the reduction of the effect of noise components on the signals obtained by the photoacoustic microscope system and reconstruction of optical contrast images from these signals was studied. |
Year | Venue | Keywords |
---|---|---|
2017 | Signal Processing and Communications Applications Conference | photoacoustic effect,photoacoustic microscopy,image reconstruction,noise analysis |
Field | DocType | ISSN |
Iterative reconstruction,Computer vision,Photoacoustic imaging in biomedicine,Optical microscope,Photoacoustic effect,Computer science,Signal-to-noise ratio,Optics,Microscope,Artificial intelligence,Microscopy,Ionizing radiation | Conference | 2165-0608 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gokhan Guney | 1 | 0 | 0.68 |
Ozlem Birgul | 2 | 1 | 1.42 |
Esra Aytac-Kipergil | 3 | 0 | 0.68 |
Aytac Demirkiran | 4 | 0 | 0.68 |
Nasire Uluc | 5 | 0 | 0.68 |
Mehmet Burcin Unlu | 6 | 0 | 1.69 |