Deciphering Structural Complexity of Brain, Joint, and Muscle Tissues Using Fourier Ptychographic Scattered Light Microscopy DOI Creative Commons
Simon van Staalduine, Vittorio Bianco, Pietro Ferraro

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 29, 2024

Abstract Fourier Ptychographic Microscopy (FPM) provides high-resolution imaging and morphological information over large fields of view, while Computational Scattered Light Imaging (ComSLI) excels at mapping interwoven fiber organization in unstained tissue sections. This study introduces (FP-SLM), a new multi-modal approach that combines FPM ComSLI analyses to create both phase-contrast images orientation maps from single measurement. The method is demonstrated on brain sections (frog, monkey) thigh muscle knee (mouse). FP-SLM delivers revealing nerve, muscle, tendon, cartilage, bone tissues. validated by comparing the computed orientations with those derived structure tensor analysis images. comparison shows are compatible each other yield fully consistent results. Remarkably, this combination surpasses sum its parts, so applying recordings vice-versa outperforms methods alone. cross-analysis can be retrospectively applied analyze any existing or dataset (acquired LED array low numerical aperture), significantly expanding application range techniques enhancing complex architectures biomedical research.

Language: Английский

Enhanced tissue slide imaging in the complex domain via cross-explainable GAN for Fourier ptychographic microscopy DOI Creative Commons
Francesco Bardozzo, Pierpaolo Fiore, Marika Valentino

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 179, P. 108861 - 108861

Published: July 16, 2024

Achieving microscopy with large space-bandwidth products plays a key role in diagnostic imaging and is widely significant the overall field of clinical practice. Among quantitative techniques, Fourier Ptychography (FP) provides wide view high-resolution images, suitable to histopathological field, but onerous computational terms. Artificial intelligence can be solution this sense. In particular, research delves into application Generative Adversarial Networks (GAN) for dual-channel complex FP image enhancement human kidney samples. The study underscores GANs' efficacy promoting biological architectures domain, thereby still guaranteeing high resolution visibility detailed microscopic structures. We demonstrate successful GAN-based enhanced reconstruction through two strategies: cross-explainability expert survey. evaluated comparison explanation maps both real imaginary components underlining its robustness. This further shows that their interplay pivotal accurate without hallucinations. Secondly, accuracy effectiveness workflow are confirmed two-step survey conducted nephrologists.

Language: Английский

Citations

4
Wide-field quantitative phase imaging without slicing via feature-domain Fourier ptychographic microscopy DOI

Fannuo Xu,

Zhiping Wang, Zipei Wu

et al.

Optics & Laser Technology, Journal Year: 2025, Volume and Issue: 187, P. 112727 - 112727

Published: March 18, 2025

Language: Английский

Citations

0
Deciphering structural complexity of brain, joint, and muscle tissues using Fourier ptychographic scattered light microscopy DOI Creative Commons
Simon van Staalduine, Vittorio Bianco, Pietro Ferraro

et al.

View, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Abstract Fourier ptychographic microscopy (FPM) provides high‐resolution imaging and morphological information over large fields of view, while computational scattered light (ComSLI) excels at mapping interwoven fiber organization in unstained tissue sections. This study introduces (FP‐SLM), a new multi‐modal approach that combines FPM ComSLI analyses to create both phase‐contrast images orientation maps from single dataset. The method is demonstrated on state‐of‐the‐art setup was originally used for one ComSLI, the outputs are quantitatively compared each other brain sections (frog monkey) thigh muscle knee (mouse). FP‐SLM delivers revealing nerve, muscle, tendon, cartilage, bone tissues. validated by comparing computed orientations with those derived structure tensor analysis images. comparison shows compatible yield fully consistent results. Remarkably, this combination surpasses sum its parts, so applying recordings vice versa outperforms methods alone. can be retrospectively applied analyze any existing dataset acquired built or alone (consisting LED array low numerical aperture), without need build design an extra setup. significantly expands application range techniques enhances complex architectures biomedical research.

Language: Английский

Citations

0
Comparative Analysis of Stain-Free Fourier Ptychographic Microscopy and Traditional Histopathological Light Microscopy in Renal Membranous Nephropathy DOI
Marika Valentino, Vittorio Bianco,

Gioacchino D’Ambrosio

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 16, 2024

Abstract Background Histology remains a cornerstone in the diagnosis and prognosis of renal diseases, with histopathological analysis kidney tissue being crucial for understanding pathophysiology. The availability multiple stained sections is essential conducting comprehensive achieving an accurate diagnosis. Recently, Fourier Ptychographic Microscopy (FPM) earned spot among most promising microscopy techniques. ability to provide high-resolution, quantitative phase-contrast images over wide area, particularly stain-free mode, makes FPM highly appealing experts histopathology. Since pathologies are characterized by subtle morphological changes encoded slides, phase maps obtained using well-suited providing detailed, high-contrast structures. Thus, provides imaging tool that can be descriptive sample and/or expressive disease. Methods In this study, we explore capability image pathological tissue, enabling pathologists select regions interest within intricate architecture zoom observe minute submicron structures, ranging from overall organization glomeruli distribution individual cell membranes. Attention focused on membranous glomerulonephritis since it nephropathy dependent histological examination. Results comparative between traditional light showed difference thickness glomerular basal membranes healthy tissues those affected (MG). Moreover, results reported our investigation revealed better contrast respect H&E-stained images. Conclusions Our study shows broad potential characterizing hallmarks MG disease even slides.

Language: Английский

Citations

0
Deciphering Structural Complexity of Brain, Joint, and Muscle Tissues Using Fourier Ptychographic Scattered Light Microscopy DOI Creative Commons
Simon van Staalduine, Vittorio Bianco, Pietro Ferraro

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 29, 2024

Abstract Fourier Ptychographic Microscopy (FPM) provides high-resolution imaging and morphological information over large fields of view, while Computational Scattered Light Imaging (ComSLI) excels at mapping interwoven fiber organization in unstained tissue sections. This study introduces (FP-SLM), a new multi-modal approach that combines FPM ComSLI analyses to create both phase-contrast images orientation maps from single measurement. The method is demonstrated on brain sections (frog, monkey) thigh muscle knee (mouse). FP-SLM delivers revealing nerve, muscle, tendon, cartilage, bone tissues. validated by comparing the computed orientations with those derived structure tensor analysis images. comparison shows are compatible each other yield fully consistent results. Remarkably, this combination surpasses sum its parts, so applying recordings vice-versa outperforms methods alone. cross-analysis can be retrospectively applied analyze any existing or dataset (acquired LED array low numerical aperture), significantly expanding application range techniques enhancing complex architectures biomedical research.

Language: Английский

Citations

0