Multimodal method for cell membrane extraction in hepatic histological images

Area of Science:

• Histopathology
• Medical Imaging
• Computational Biology

Background:

• Extracting cell membranes in hematoxylin and eosin-stained hepatic histological images is challenging due to subtle color differences.
• Conventional bright-field microscopy offers limited contrast for precise cell membrane delineation.

Purpose of the Study:

• To develop and evaluate a multimodal imaging method for improved cell membrane extraction in hepatic histology.
• To assess the effectiveness of combining bright-field, dark-field, and phase-contrast imaging techniques.

Main Methods:

• A multimodal imaging approach was employed, integrating bright-field, dark-field, and phase-contrast microscopy.
• These imaging modalities were easily switchable using a combined condenser and phase-contrast objective lens.
• A graphical user interface was developed to calculate the nuclear-to-cytoplasmic (N/C) ratio by integrating cell membrane and nucleus extraction.

Main Results:

• The multimodal method significantly improved the accuracy of cell membrane extraction compared to conventional bright-field imaging alone.
• Utilizing additional color information from dark-field and phase-contrast images enhanced correct extraction rates.
• The highest accuracy was achieved when color information from all three imaging modalities was combined.

Conclusions:

• Multimodal imaging offers a practical and effective solution for enhancing cell membrane extraction in hepatic histology.
• This approach provides valuable supplementary data for accurate N/C ratio calculation, aiding in pathological assessment.
• The method requires minimal additional time and cost, making it accessible for routine pathology workflows.