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

Linear-space-variant model for Fourier ptychographic microscopy DOI

Tianci Feng,

Aiye Wang,

Zhiping Wang

et al.

Optics Letters, Journal Year: 2024, Volume and Issue: 49(10), P. 2617 - 2617

Published: April 11, 2024

Fourier ptychographic microscopy (FPM) needs to realize well-accepted reconstruction by image segmentation and discarding problematic data due artifacts caused vignetting. However, the imaging results have long suffered from uneven color blocks consequent digital stitching artifacts, failing bring satisfying experiences researchers users over past decade since invention of FPM. In fact, fundamental reason for vignetting lies in that acquired does not match adopted linear-space-invariant (LSI) forward model, i.e., actual object function is modulated a quadratic phase factor during acquisition, which has been neglected advancement this Letter, we rederive linear-space-variant (LSV) model FPM design corresponding loss FPM, termed LSV-FPM. Utilizing LSV-FPM optimization enables efficient removal wrinkle results, without need segmenting or images. The effectiveness validated through both 4f finite conjugate single-lens systems.

Language: Английский

Citations

4
Fourier Ptychographic Microscopy with Optical Aberration Correction and Phase Unwrapping Based on Semi-Supervised Learning DOI Creative Commons
Xu‐Hui Zhou, Haiping Tong, Er Ouyang

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(1), P. 423 - 423

Published: Jan. 5, 2025

Fourier ptychographic microscopy (FPM) has recently emerged as an important non-invasive imaging technique which is capable of simultaneously achieving high resolution, wide field view, and quantitative phase imaging. However, FPM still faces challenges in the image reconstruction due to factors such noise, optical aberration, wrapping. In this work, we propose a semi-supervised transformer network (SFPT) for improved reconstruction, employs two-stage training approach enhance quality. First, self-supervised learning guided by low-resolution amplitudes Zernike modes utilized recover pupil function. Second, supervised framework with augmented datasets applied further refine Moreover, unwrapped recovered adjusting distribution range datasets. The effectiveness proposed method validated using both simulation experimental data. This deep-learning-based potential applications thicker biology samples.

Language: Английский

Citations

0
High‐Resolution Oil‐Free Imaging of Chromosomes Using Fourier Ptychographic Microscopy DOI

Changliang Yu,

Yuguo Tang

Journal of Biophotonics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

ABSTRACT In conventional microscopic imaging of chromosomes, the use high numerical aperture (NA) oil‐immersion objectives is essential. However, poses a significant challenge to automated systems because it increases risk sample contamination and instrumental damage. The shallow depth field (DOF) also demands more sophisticated mechanical focusing. Here, we introduce chromosome oil‐free system based on Fourier Ptychographic Microscopy (FPM) technology. employs 100×, 0.8 NA dry objective achieve half‐pitch resolution 194 nm at an incident wavelength 524 nm. reconstructed images chromosomes surpassed with 1.25 objective. We utilized digital refocusing methods extend effective DOF ±2.4 μm. This study preliminarily validates possibility developing new generation scanners without using

Language: Английский

Citations

0
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
Challenges and Opportunities in Cytopathology Artificial Intelligence DOI Creative Commons
Meredith A. VandeHaar, Hussien Al-Asi,

Fatih Doganay

et al.

Bioengineering, Journal Year: 2025, Volume and Issue: 12(2), P. 176 - 176

Published: Feb. 13, 2025

Artificial Intelligence (AI) has the potential to revolutionize cytopathology by enhancing diagnostic accuracy, efficiency, and accessibility. However, implementation of AI in this field presents significant challenges opportunities. This review paper explores current landscape applications cytopathology, highlighting critical challenges, including data quality availability, algorithm development, integration standardization, clinical validation. We discuss such as limitation only one optical section z-stack scanning, complexities associated with acquiring high-quality labeled data, intricacies developing robust generalizable models, difficulties integrating tools into existing laboratory workflows. The also identifies substantial opportunities that brings cytopathology. These include for improved accuracy through enhanced detection capabilities consistent, reproducible results, which can reduce observer variability. AI-driven automation routine tasks significantly increase allowing cytopathologists focus on more complex analyses. Furthermore, serve a valuable educational tool, augmenting training facilitating global health initiatives making diagnostics accessible resource-limited settings. underscores importance addressing these harness full ultimately improving patient care outcomes.

Language: Английский

Citations

0
Methods for imaging and analysis of hystological tissue slides via Fourier Ptychographic Microscopy DOI
Vittorio Bianco, Marika Valentino, Daniele Pirone

et al.

Published: June 18, 2024

Digital pathology indicates the ensemble of emerging methods, analysis techniques, and diagnostic protocols that aim to improve automatize inspection biological samples such as slides histological tissues blood smears. From microscopy methods standpoint, accessing a wide field view (FOV) is highly required look at big picture tissue organization, structures connections. At same time, high resolution inspect slide single cell, organelle membranes level. Here, we show use Fourier Ptychographic Microscopy (FPM) image effectively large portions, over mm2 FOV, while attaining submicron resolution. Resolution improved up six-fold factor by probing specimen from multiple directions exploiting synthetic aperture principle. An iterative phase retrieval algorithm estimated high-resolution phase-contrast set low-resolution intensities. Remarkably, FPM marker-free quantitative method. Neural kidney slides, both unstained marked with different stains are imaged investigate effect staining on images. We novel classification techniques working These specifically tailored for multi-scale imaging capabilities can be used classify portions across scales, i.e. analysing signatures organization level membrane apply this approach patients breast cancer fibroadenoma tissue.

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