Measuring morphological and biochemical features of tissue is crucial for disease diagnosis
and surgical guidance, providing clinically significant information related to pathophysiology …

With the continuous progress of development, deep learning has made good progress in the
analysis and recognition of images, which has also triggered some researchers to explore …

Aging and diabetes lead to protein glycation and cause dysfunction of collagen-containing
tissues. The accompanying structural and functional changes of collagen significantly …

Dynamic light scattering (DLS) is a well known experimental approach uniquely suited for
the characterization of small particles undergoing Brownian motion in randomly …

Significance Spectral imaging, which includes hyperspectral and multispectral imaging, can
provide images in numerous wavelength bands within and beyond the visible light …

Significance: Measurement and imaging of hemoglobin oxygenation are used extensively in
the detection and diagnosis of disease; however, the applied instruments vary widely in their …

This paper presents the results of the experiments which were performed using the optical
biopsy system specially developed for in vivo tissue classification during the percutaneous …

Significance Wide-field imaging Mueller polarimetry is an optical imaging technique that has
great potential to become a reliable, fast, non-contact in vivo imaging modality for the early …

Explainable artificial intelligence (XAI) is essential for enabling clinical users to get informed
decision support from AI and comply with evidence-based medical practice. Applying XAI in …

This work presents results of in vivo and in situ measurements of hepatocellular carcinoma
by a developed optical biopsy system. Here, we describe the technical details of the …