Journal of biomedical optics · 2026
Multimodal imaging platform for rapid non-destructive evaluation of pancreatic puncture specimens.
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Zhang Jianan, Zhang Qing, Wang Jiansheng, Zhou Chunhua, Gao Lili, Sun Zhen, Wang Yan, Zou Duowu, Li Qingli
Аннотация
SIGNIFICANCE: Destructive staining and slow subjective visual inspection remain major limitations in rapid evaluation of biopsy specimens during endoscopic ultrasound-guided fine needle biopsy. Therefore, there is a strong need for a label-free optical imaging approach that enables quantitative specimen assessment while preserving specimen integrity.
AIM: A multimodal imaging system integrating hyperspectral and color imaging was developed to acquire images of biopsy specimens without staining or sample preparation.
APPROACH: A hyperspectral on-site evaluation workflow was proposed, integrating hyperspectral imaging and color imaging within a modular platform. Hyperspectral data were analyzed using a support-vector-machine-based segmentation framework for specimen assessment with color images providing reference annotations. No washing or staining is required.
RESULTS: Validation on 220 pancreatic biopsy specimens demonstrates accurate non-destructive macroscopic visible core evaluation, achieving an F 1 -score of 94.7%. The proposed workflow improves analysis efficiency by 93% compared with conventional rapid on-site evaluation.
CONCLUSIONS: We demonstrate that integrating hyperspectral imaging with computational analysis enables rapid, quantitative, and label-free specimen evaluation, highlighting the potential of biomedical optical systems for intra-procedural specimen assessment.
AIM: A multimodal imaging system integrating hyperspectral and color imaging was developed to acquire images of biopsy specimens without staining or sample preparation.
APPROACH: A hyperspectral on-site evaluation workflow was proposed, integrating hyperspectral imaging and color imaging within a modular platform. Hyperspectral data were analyzed using a support-vector-machine-based segmentation framework for specimen assessment with color images providing reference annotations. No washing or staining is required.
RESULTS: Validation on 220 pancreatic biopsy specimens demonstrates accurate non-destructive macroscopic visible core evaluation, achieving an F 1 -score of 94.7%. The proposed workflow improves analysis efficiency by 93% compared with conventional rapid on-site evaluation.
CONCLUSIONS: We demonstrate that integrating hyperspectral imaging with computational analysis enables rapid, quantitative, and label-free specimen evaluation, highlighting the potential of biomedical optical systems for intra-procedural specimen assessment.