Title :
Microscopic specimen delineation using auto-phase correlation index
Author :
Yilun Fan ; Gal, Yaniv ; Bradley, Andrew P.
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, St. Lucia, QLD, Australia
fDate :
April 29 2014-May 2 2014
Abstract :
Rapid and high-quality digital acquisition of microscopic specimens is critically dependent upon an initial low-resolution delineation of the specimen and the construction of a focus map to guide the subsequent high-resolution scan. In this paper, we propose a novel field-of-view (FOV) based algorithm that not only accurately delineates the specimen, but also highlights superior FOVs from which to build the focus map. Specifically, we evaluate two FOV evaluation metrics: one “baseline” method based on a threshold of intensity values in each FOV and the other based on the proposed auto-phase correlation index (APCI). While phase correlation is a well known measure of phase diversity, we show that APCI can be efficiently utilised as a metric to both delineate the specimen and highlight superior FOV focus candidates. The experimental results, on real-world cytology specimens, demonstrate that APCI is both effective and robust at specimen delineation, particularly in the presence of artifacts such as glue and dust. In addition, APCI is shown to be effective at selecting a subset of FOVs that can be correctly focused.
Keywords :
biomedical optical imaging; cellular biophysics; correlation methods; image resolution; medical image processing; APCI; SPOT Insight camera; auto-phase correlation index; autophase correlation index; digital acquisition; dust; field-of-view based algorithm; focus map; glue; high-resolution scan; initial low-resolution delineation; intensity values; microscopic specimen delineation; motorised Olympus BX40 microscope; phase correlation; real-world cytology specimens; Correlation; Digital images; Image edge detection; Indexes; Lighting; Measurement; Microscopy; Digital slides; Focus map; Scan map; Virtual microscopy;
Conference_Titel :
Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
Conference_Location :
Beijing
DOI :
10.1109/ISBI.2014.6868124