Original Research Report
Morphometry to identify subtypes of leukocytes

https://doi.org/10.1016/j.hemonc.2013.11.005Get rights and content
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Introduction

Recent studies in image cytometry evaluated the replacement of specific markers by morphological parameters. The aim of this study was to develop and evaluate a method to identify subtypes of leukocytes using morphometric data of the nuclei.

Method

The analyzed images were generated with a laser scanning cytometer. Two free programs were used for image analysis and statistical evaluation: Cellprofiler and Tanagra respectively. A sample of leukocytes with 200 sets of images (DAPI, CD45 and CD14) was analyzed. Using feature selection, the 20 best parameters were chosen to conduct cross-validation.

Results

The morphometric data identified the subpopulations of the analyzed leukocytes with a sensitivity and specificity of 0.95 per sample.

Conclusion

The present study is the first that identifies subpopulations of leukocytes by nuclear morphology.

Keywords

Quantitative imaging
Texture
Morphometry
Leukocyte count
Machine learning
Image cytometry

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