Hardware‐Attentive Programmable Fourier Ptychography Enables Task‐Adaptive Label‐Free Virtual Staining

Virtual staining will enable fast and reagent-free histological imaging toward accurate and consistent pathology diagnosis. However, most current developments rely on heuristic optical landmarks and blind reconstruction, which reduces interpretability, limits cross-task adaptations, and prevents their ultimate clinical translations. Here, we introduce an interpretable Plain-to-Stain framework, "Task-Adaptive Programmable Optics (TAPO)" that removes manual landmark selection by directly tying programmable optical control to task-specific diagnostic objectives. The approach operates under specially modulated visible light, and the highly programmable imaging system decomposes each optical step to execute optics-attention-based reconstruction, leading to task-adaptive multimodal optical encoding for virtual staining. We demonstrated that TAPO successfully passed rigorous validation across diverse tissue types (liver, lung), pathological states (normal, malignant), staining protocols (H&E, Masson's trichrome), magnifications (10×, 20×), and section-thickness settings including routine 4 µm sections and moderately thicker 10 µm sections. Blinded assessments by a panel of board-certified pathologists on multiple virtual slides showed that TAPO results had high clinical acceptance, especially in resolution, cytoplasmic clarity, and nuclear staining, and demonstrated considerable potential for clinical pathology practice.

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Publication Details

Journal
Advanced Science
Published
2026-06-30
DOI
https://doi.org/10.1002/advs.76292
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Hardware‐Attentive Programmable Fourier Ptychography Enables Task‐Adaptive Label‐Free Virtual Staining

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Advanced Science
Advanced X-ray Imaging Techniques
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Hardware‐Attentive Programmable Fourier Ptychography Enables Task‐Adaptive Label‐Free Virtual Staining

Tingdong Kou, Yongfu Wen, Jian Cui, Tianyue He, Hongying Zhang, Dayong Jin, Xin He, Y L Qiu, L Yang, W Y Jing, Junfei Shen, Qican Zhang, Zhenrong Zheng, Le Zhang
article en

Abstract

Virtual staining will enable fast and reagent-free histological imaging toward accurate and consistent pathology diagnosis. However, most current developments rely on heuristic optical landmarks and blind reconstruction, which reduces interpretability, limits cross-task adaptations, and prevents their ultimate clinical translations. Here, we introduce an interpretable Plain-to-Stain framework, "Task-Adaptive Programmable Optics (TAPO)" that removes manual landmark selection by directly tying programmable optical control to task-specific diagnostic objectives. The approach operates under specially modulated visible light, and the highly programmable imaging system decomposes each optical step to execute optics-attention-based reconstruction, leading to task-adaptive multimodal optical encoding for virtual staining. We demonstrated that TAPO successfully passed rigorous validation across diverse tissue types (liver, lung), pathological states (normal, malignant), staining protocols (H&E, Masson's trichrome), magnifications (10×, 20×), and section-thickness settings including routine 4 µm sections and moderately thicker 10 µm sections. Blinded assessments by a panel of board-certified pathologists on multiple virtual slides showed that TAPO results had high clinical acceptance, especially in resolution, cytoplasmic clarity, and nuclear staining, and demonstrated considerable potential for clinical pathology practice.

Advanced Science
University of Technology Sydney (AU), Sichuan University (CN), West China Hospital of Sichuan University (CN), San’an Optoelectronics (China) (CN), State Key Laboratory of Modern Optical Instruments (CN), Zhejiang University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 8%
Advanced X-ray Imaging Techniques
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