Presentation + Paper
20 June 2024 Optical metrology with wide field of view for 3D mapping of tissues
Christos Katopodis, Ioanna Zergioti, Dimitrios G. Papazoglou
Author Affiliations +
Abstract
Traditional optical metrology techniques face significant challenges when applied to biological specimens, largely due to the specimens' inherent transparency. This often results in inadequate imaging and compromised measurement accuracy. To circumvent these challenges, confocal microscopy has become the preferred method for metrological analysis of such samples. However, it is important to note that confocal microscopy is fundamentally a point -based technique, which inherently limits its field of view (FOV). In this paper, we explore the application of a depth-from-focus method for the 3D mapping of biological tissues in a wide FOV. Although this technique is well-established for reflective and absorbent samples, its use has been limited with transparent, and specifically biological, samples. The lack of critical surface texture in transparent samples hinders the acquisition of the necessary imaging detail when using traditional transillumination or epi-illumination systems. Additionally, conventional high-resolution depth-from-focus systems typically employ microscope objectives that yield a narrow depth of field however limiting the FOV due to high magnification. We address these challenges by introducing two key innovations. First, we implement a ring LED illumination system to enhance the clarity of the sample surface image. Second, we substitute the microscope objective with a photographic lens paired with a larger sensor to expand the FOV. These adaptations, along with a developed focus estimation algorithm, enable high-resolution 3D mapping of biological tissues, overcoming the limitations of existing methods.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Christos Katopodis, Ioanna Zergioti, and Dimitrios G. Papazoglou "Optical metrology with wide field of view for 3D mapping of tissues", Proc. SPIE 12999, Optical Sensing and Detection VIII, 129991X (20 June 2024); https://doi.org/10.1117/12.3022128
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Biological samples

Tissues

Natural surfaces

3D image processing

Imaging systems

Depth of field

Metrology

RELATED CONTENT


Back to Top