Journal ArticleDOI
High Dynamic Range Microscopy for Cytopathological Cancer Diagnosis
André A. Bell,Johannes Brauers,Jens N. Kaftan,Dietrich Meyer-Ebrecht,Alfred Böcking,Til Aach +5 more
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TLDR
It is shown how the dynamic range can be increased by acquiring a set of differently exposed cell images, which allow to measure cellular features that are otherwise difficult to capture, if at all, in high dynamic range (HDR) images.Abstract:
Cancer is one of the most common causes of death. Cytopathological, i.e., cell-based, diagnosis of cancer can be applied in screening scenarios and allows an early and highly sensitive detection of cancer, thus increasing the chance for cure. The detection of cancer on cells addressed in this paper is based on bright field light microscopy. The cells are imaged with a camera mounted on a microscope, allowing to measure cell properties. However, these cameras exhibit only a limited dynamic range, which often makes the quantification of properties difficult or even impossible. Consequently, to allow a computer-assisted analysis of microscopy images, the imaging has to be improved. To this end, we show how the dynamic range can be increased by acquiring a set of differently exposed cell images. These high dynamic range (HDR) images allow to measure cellular features that are otherwise difficult to capture, if at all. We show that HDR microscopy not only increases the dynamic range, but furthermore reduces noise and improves the acquisition of colors. We develop HDR microscopy-based algorithms, which are essential for cytopathological oncology and early cancer detection and only possible with HDR microscopy imaging. We show the detection of certain subcellular features, so-called AgNORs, in silver (Ag) stained specimens. Furthermore, we give examples of two further applications, namely: 1) the detection of stained cells in immunocytochemical preparations and 2) color separation for nuclear segmentation of specimens stained with low contrast.read more
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Journal ArticleDOI
Microfluidic technologies for anticancer drug studies.
Karolina Papera Valente,Sultan Khetani,Ahmad Rezaei Kolahchi,Amir Sanati-Nezhad,Afzal Suleman,Mohsen Akbari,Mohsen Akbari +6 more
TL;DR: In this review, the applications of microfluidic-based models in anticancer drug studies are highlighted and a perspective on the future of the clinical applications ofmicrofluidics systems for antic cancer drug development is provided.
Book ChapterDOI
Digital images are data: and should be treated as such.
TL;DR: A number of image processing guidelines are offered to avoid pitfalls, unexpected artifacts, and unintentional misrepresentation of the image data.
Journal ArticleDOI
Improved elastic registration for removing ghost artifacts in high dynamic imaging
TL;DR: Since the proposed method can embed the self compensating function into an imaging device, Ghost-free HDR imaging application can be extended to most consumer cameras, such as mobile phone cameras, point-and-shoot cameras, and digital single lens reflected cameras without using additional stabilizing equipments.
Journal ArticleDOI
An FPGA implementation of a tone mapping algorithm with a halo-reducing filter
TL;DR: A real-time hardware implementation of an exponent-based tone mapping algorithm of Horé et al., that uses both local and global image information for improving the contrast and increasing the brightness of tone-mapped images.
References
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Proceedings ArticleDOI
Recovering high dynamic range radiance maps from photographs
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Journal Article
Quantification of histochemical staining by color deconvolution
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