Automatic cell identification and analysis on in vivo reflectance confocal microscopy images of the human epidermis

Imane Lboukili; Xavier Descombes; Georgios Stamatas

doi:10.1117/12.2626777

27 May 2022 Automatic cell identification and analysis on in vivo reflectance confocal microscopy images of the human epidermis

Imane Lboukili, Xavier Descombes, Georgios Stamatas

Author Affiliations +

Proceedings Volume 12144, Biomedical Spectroscopy, Microscopy, and Imaging II; 121440P (2022) https://doi.org/10.1117/12.2626777
Event: SPIE Photonics Europe, 2022, Strasbourg, France

Conference Poster

Abstract

Reflectance confocal microscopy (RCM) allows real-time in vivo visualization of the skin at cellular level. The study of RCM images provides information on the topological and geometrical properties of the epidermis. These may change in each layer of the epidermis, depending on the subject’s age and the presence of certain dermatological conditions. Studying RCM images requires manual identification of cells to derive these properties which is time-consuming and subject to human error, highlighting the need for an automated cell identification method. We propose an automated pipeline to analyze the structure of the skin in RCM images. The first step is to identify the region of interest (ROI) containing the epidermal cells. The second step is to identify individual cells in the segmented tissue area using an image filter. We then use prior biological knowledge to process the resulting detected cells, removing cells that are too small and reapplying the used filter locally on detected regions that are too big to be considered as a single cell. The results are evaluated both on simulated data and on manually annotated real RCM data. This study shows that automatic cell identification can be achieved, with an accuracy (precision and recall) that matches the inter-expert variability.

Conference Presentation

Citation Download Citation

Imane Lboukili, Xavier Descombes, and Georgios Stamatas "Automatic cell identification and analysis on in vivo reflectance confocal microscopy images of the human epidermis", Proc. SPIE 12144, Biomedical Spectroscopy, Microscopy, and Imaging II, 121440P (27 May 2022); https://doi.org/10.1117/12.2626777

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