DALMATIAN: An Algorithm for Automatic Cell Detection and Counting in 3D

Shuvaev, S.A.; Lazutkin, A.A.; Kedrov, A.V.; Anokhin, K.V.; Enikolopov, G.N.; Koulakov, A.A.

Авторы: Shuvaev Sergey A., Lazutkin Alexander A., Kedrov Alexander V., Anokhin Konstantin V., Enikolopov Grigori N., Koulakov Alexei A.
Журнал: Frontiers in Neuroanatomy
Том: 11
Год издания: 2017
Издательство: Frontiers Research Foundation
Местоположение издательства: Switzerland
DOI: 10.3389/fnana.2017.00117
Аннотация: Current 3D imaging methods, including optical projection tomography, light-sheet microscopy, block-face imaging, and serial two photon tomography enable visualization of large samples of biological tissue. Large volumes of data obtained at high resolution require development of automatic image processing techniques, such as algorithms for automatic cell detection or, more generally, point-like object detection. Current approaches to automated cell detection suffer from difficulties originating from detection of particular cell types, cell populations of different brightness, non-uniformly stained, and overlapping cells. In this study, we present a set of algorithms for robust automatic cell detection in 3D. Our algorithms are suitable for, but not limited to, whole brain regions and individual brain sections. We used watershed procedure to split regional maxima representing overlapping cells.We developed a bootstrap Gaussian fit procedure to evaluate the statistical significance of detected cells. We compared cell detection quality of our algorithm and other software using 42 samples, representing 6 staining and imaging techniques. The results provided by our algorithm matched manual expert quantification with signal-to-noise dependent confidence, including samples with cells of different brightness, non-uniformly stained, and overlapping cells for whole brain regions and individual tissue sections. Our algorithm provided the best cell detection quality among tested free and commercial software.
Добавил в систему: Лазуткин Александр Алексеевич

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DALMATIAN: An Algorithm for Automatic Cell Detection and Counting in 3Dстатья

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