Pub Date : 2025-06-01Epub Date: 2025-04-01DOI: 10.1016/j.pacs.2025.100720
Yameng Zhang , Hua Tian , Min Wan , Shihao Tang , Ziyun Ding , Wei Huang , Yamin Yang , Weitao Li
Photoacoustic imaging is a powerful technique that provides high-resolution, deep tissue imaging. However, the time-intensive nature of photoacoustic microscopy (PAM) poses a significant challenge, especially when high-resolution images are required for real-time applications. In this study, we proposed an optimized Fast Residual Dense Generative Adversarial Network (FRDGAN) for high-quality PAM reconstruction. Through dataset validation on mouse ear vasculature, FRDGAN demonstrated superior performance in image quality, background noise suppression, and computational efficiency across multiple down-sampling scales (×4, ×8) compared to classical methods. Furthermore, in the in vivo experiments of mouse cerebral vasculature, FRDGAN achieves the improvement of 2.24 dB and 0.0255 in peak signal-to-noise ratio and structural similarity metrics in contrast to SRGAN, respectively. Our FRDGAN method provides a promising solution for fast, high-quality PAM microvascular imaging in biomedical research.
{"title":"High resolution photoacoustic vascular image reconstruction through the fast residual dense generative adversarial network","authors":"Yameng Zhang , Hua Tian , Min Wan , Shihao Tang , Ziyun Ding , Wei Huang , Yamin Yang , Weitao Li","doi":"10.1016/j.pacs.2025.100720","DOIUrl":"10.1016/j.pacs.2025.100720","url":null,"abstract":"<div><div>Photoacoustic imaging is a powerful technique that provides high-resolution, deep tissue imaging. However, the time-intensive nature of photoacoustic microscopy (PAM) poses a significant challenge, especially when high-resolution images are required for real-time applications. In this study, we proposed an optimized Fast Residual Dense Generative Adversarial Network (FRDGAN) for high-quality PAM reconstruction. Through dataset validation on mouse ear vasculature, FRDGAN demonstrated superior performance in image quality, background noise suppression, and computational efficiency across multiple down-sampling scales (×4, ×8) compared to classical methods. Furthermore, in the in vivo experiments of mouse cerebral vasculature, FRDGAN achieves the improvement of 2.24 dB and 0.0255 in peak signal-to-noise ratio and structural similarity metrics in contrast to SRGAN, respectively. Our FRDGAN method provides a promising solution for fast, high-quality PAM microvascular imaging in biomedical research.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100720"},"PeriodicalIF":7.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cardiovascular diseases are on the rise, presenting a significant global health challenge. The development of methods enabling the detection of alterations in vascular networks is critical for the early diagnosis and treatment of cardiovascular diseases, including peripheral arterial disease, stroke, and hypertension. Here, we use photoacoustic microscopy (PAM), a non-invasive imaging technique, to monitor morphological changes within the skin vessels of chronically hypertensive mice deficient in the mechanosensitive channel Piezo1 in endothelial cells (Piezo1 EC-KO). We show that, compared to control mice (Piezo1 flox/flox), Piezo1 EC-KO mice are characterized by poorer tissue perfusion due to a vasoconstriction of resistance arterioles. We also show the effect of administration of pharmacological agents on vessel vasodilation in the skin of Piezo1-deficient mice and control mice, identifying quantitative differences between the two groups. These results advance our understanding of vascular mechanodynamics and offer potential implications for developing targeted treatments for hypertensive disorders.
{"title":"Photoacoustic microscopy for studying mechano-transduction response in resistance vessels","authors":"Juliana Benavides-Lara , Dianicha Santana Nunez , Mohsin Zafar , Janette Garcia Campos , Shuangping Zhao , Yulia A. Komarova , Kamran Avanaki","doi":"10.1016/j.pacs.2025.100713","DOIUrl":"10.1016/j.pacs.2025.100713","url":null,"abstract":"<div><div>Cardiovascular diseases are on the rise, presenting a significant global health challenge. The development of methods enabling the detection of alterations in vascular networks is critical for the early diagnosis and treatment of cardiovascular diseases, including peripheral arterial disease, stroke, and hypertension. Here, we use photoacoustic microscopy (PAM), a non-invasive imaging technique, to monitor morphological changes within the skin vessels of chronically hypertensive mice deficient in the mechanosensitive channel Piezo1 in endothelial cells (Piezo1 EC-KO). We show that, compared to control mice (Piezo1 flox/flox), Piezo1 EC-KO mice are characterized by poorer tissue perfusion due to a vasoconstriction of resistance arterioles. We also show the effect of administration of pharmacological agents on vessel vasodilation in the skin of Piezo1-deficient mice and control mice, identifying quantitative differences between the two groups. These results advance our understanding of vascular mechanodynamics and offer potential implications for developing targeted treatments for hypertensive disorders.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100713"},"PeriodicalIF":7.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-02-23DOI: 10.1016/j.pacs.2025.100701
Yonggeng Goh , Ghayathri Balasundaram , Hui Min Tan , Thomas Choudary Putti , Renzhe Bi , Mikael Hartman , Shaik Ahmad Buhari , Celene Wei Qi Ng , Su Ann Lui , Serene Si Ning Goh , Wei Qi Leong , Eric Fang , Swee Tian Quek , Malini Olivo
Purpose
To evaluate the feasibility and accuracy of ultrasound-guided photoacoustic tomography (US-PA) for intraoperative margin assessment in breast-conserving surgery (BCS) following neoadjuvant chemotherapy (NACT).
Methods
This study, approved by the local Institutional Review Board, included 21 women with histologically confirmed breast cancer referred for BCS post-NACT. Data from 4 participants were used for training while 17 participants were analyzed. US-PA imaging was performed using the MSOT inVision 512-ECHO system, capturing chromophores like lipids, collagen, and hemoglobin up to a 5 mm depth. Imaging results were compared to histopathological findings, and diagnostic accuracy was calculated.
Results
US-PA imaging demonstrated a high diagnostic accuracy of 89.0 %, with a sensitivity and negative predictive value (NPV) of 100 %, specificity of 86.9 %, and positive predictive value (PPV) of 59.4 %. Excellent inter-observer agreement (kappa = 1) was observed. No laser-induced tissue damage was noted. The average scan time per specimen was approximately 20 minutes. False positives (n = 11) were primarily due to post-therapy fibrotic changes and extremely close tumor extensions (<2 mm).
Conclusion
US-PA provided clear visualization of tissue components, accurately correlating with histopathology. The method's high NPV minimizes the risk of re-operations and locoregional recurrence. Although the PPV was lower, it did not impact clinical management as surgeons typically excise wider margins in such cases. The study highlighted US-PA’s potential as a promising tool for intraoperative margin assessment in BCS post-NACT, offering a rapid, accurate, and safe method. Further studies with larger sample sizes are needed to confirm these findings and enhance quantitative assessment methods.
{"title":"Utility of photoacoustic patterns in intra-operative margin assessment of breast cancer post neoadjuvant chemotherapy","authors":"Yonggeng Goh , Ghayathri Balasundaram , Hui Min Tan , Thomas Choudary Putti , Renzhe Bi , Mikael Hartman , Shaik Ahmad Buhari , Celene Wei Qi Ng , Su Ann Lui , Serene Si Ning Goh , Wei Qi Leong , Eric Fang , Swee Tian Quek , Malini Olivo","doi":"10.1016/j.pacs.2025.100701","DOIUrl":"10.1016/j.pacs.2025.100701","url":null,"abstract":"<div><h3>Purpose</h3><div>To evaluate the feasibility and accuracy of ultrasound-guided photoacoustic tomography (US-PA) for intraoperative margin assessment in breast-conserving surgery (BCS) following neoadjuvant chemotherapy (NACT).</div></div><div><h3>Methods</h3><div>This study, approved by the local Institutional Review Board, included 21 women with histologically confirmed breast cancer referred for BCS post-NACT. Data from 4 participants were used for training while 17 participants were analyzed. US-PA imaging was performed using the MSOT inVision 512-ECHO system, capturing chromophores like lipids, collagen, and hemoglobin up to a 5 mm depth. Imaging results were compared to histopathological findings, and diagnostic accuracy was calculated.</div></div><div><h3>Results</h3><div>US-PA imaging demonstrated a high diagnostic accuracy of 89.0 %, with a sensitivity and negative predictive value (NPV) of 100 %, specificity of 86.9 %, and positive predictive value (PPV) of 59.4 %. Excellent inter-observer agreement (kappa = 1) was observed. No laser-induced tissue damage was noted. The average scan time per specimen was approximately 20 minutes. False positives (n = 11) were primarily due to post-therapy fibrotic changes and extremely close tumor extensions (<2 mm).</div></div><div><h3>Conclusion</h3><div>US-PA provided clear visualization of tissue components, accurately correlating with histopathology. The method's high NPV minimizes the risk of re-operations and locoregional recurrence. Although the PPV was lower, it did not impact clinical management as surgeons typically excise wider margins in such cases. The study highlighted US-PA’s potential as a promising tool for intraoperative margin assessment in BCS post-NACT, offering a rapid, accurate, and safe method. Further studies with larger sample sizes are needed to confirm these findings and enhance quantitative assessment methods.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100701"},"PeriodicalIF":7.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-03-28DOI: 10.1016/j.pacs.2025.100716
Moongyu Han , Young Joo Lee , Junho Ahn , Sunghun Nam , Minseong Kim , Jeongwoo Park , Joongho Ahn , Hanyoung Ryu , Youngseok Seo , Byullee Park , Dooreh Kim , Chulhong Kim
The sentinel lymph node (SLNb) is generally performed using radioisotopes, blue dyes, or both to improve false negative rate. However, ionizing radiation is involved in a gamma probe with radioisotopes and the blue dye detection relies on native visual inspection by an operator. To overcome these limitations, we developed the photoacoustic finder (PAF), a highly sensitive, non-radioactive detector that uses only blue dye and a photoacoustic signal to detect SLNs. A total of 121 patients with breast cancer were enrolled, and 375 lymph nodes were excised using conventional SLNb. The PAF was used to measure the signal from the excised lymph nodes. We compared the SLN detection rates of each method (gamma probe, visual inspection, and PAF) and conducted a non-inferiority test. The PAF detected 87 % of SLNs, comparable to the gamma probe (85 %) and superior to visual inspection (73 %). Non-inferiority tests confirmed PAF's performance was not inferior to visual inspection (p < 0.001) or the gamma probe (p < 0.015). Using the dual-modal method (gamma probe + visual inspection) as the gold standard, PAF showed a sensitivity of 0.81 and specificity of 0.63. This study demonstrates that PAF, using only blue dye, offers a non-inferior alternative to the standard dual-modal SLN detection method with radioactive materials, opening new avenues for radiation-free SLNb in the future.
{"title":"A clinical feasibility study of a photoacoustic finder for sentinel lymph node biopsy in breast cancer patients: A prospective cross-sectional study","authors":"Moongyu Han , Young Joo Lee , Junho Ahn , Sunghun Nam , Minseong Kim , Jeongwoo Park , Joongho Ahn , Hanyoung Ryu , Youngseok Seo , Byullee Park , Dooreh Kim , Chulhong Kim","doi":"10.1016/j.pacs.2025.100716","DOIUrl":"10.1016/j.pacs.2025.100716","url":null,"abstract":"<div><div>The sentinel lymph node (SLNb) is generally performed using radioisotopes, blue dyes, or both to improve false negative rate. However, ionizing radiation is involved in a gamma probe with radioisotopes and the blue dye detection relies on native visual inspection by an operator. To overcome these limitations, we developed the photoacoustic finder (PAF), a highly sensitive, non-radioactive detector that uses only blue dye and a photoacoustic signal to detect SLNs. A total of 121 patients with breast cancer were enrolled, and 375 lymph nodes were excised using conventional SLNb. The PAF was used to measure the signal from the excised lymph nodes. We compared the SLN detection rates of each method (gamma probe, visual inspection, and PAF) and conducted a non-inferiority test. The PAF detected 87 % of SLNs, comparable to the gamma probe (85 %) and superior to visual inspection (73 %). Non-inferiority tests confirmed PAF's performance was not inferior to visual inspection (p < 0.001) or the gamma probe (p < 0.015). Using the dual-modal method (gamma probe + visual inspection) as the gold standard, PAF showed a sensitivity of 0.81 and specificity of 0.63. This study demonstrates that PAF, using only blue dye, offers a non-inferior alternative to the standard dual-modal SLN detection method with radioactive materials, opening new avenues for radiation-free SLNb in the future.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100716"},"PeriodicalIF":7.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-02-20DOI: 10.1016/j.pacs.2025.100698
Hsuan-Kai Huang , Joseph Kuo , Yang Zhang , Yousuf Aborahama , Manxiu Cui , Karteekeya Sastry , Seonyeong Park , Umberto Villa , Lihong V. Wang , Mark A. Anastasio
Transcranial photoacoustic computed tomography (PACT) holds significant potential as a neuroimaging modality. However, compensating for skull-induced aberrations in reconstructed images remains a challenge. Although optimization-based image reconstruction methods (OBRMs) can account for the relevant wave physics, they are computationally demanding and generally require accurate estimates of the skull’s viscoelastic parameters. To circumvent these issues, a learning-based image reconstruction method was investigated for three-dimensional (3D) transcranial PACT. The method was systematically assessed in virtual imaging studies that involved stochastic 3D numerical head phantoms and applied to experimental data acquired by use of a physical head phantom that involved a human skull. The results demonstrated that the learning-based method yielded accurate images and exhibited robustness to errors in the assumed skull properties, while substantially reducing computational times compared to an OBRM. To the best of our knowledge, this is the first demonstration of a learned image reconstruction method for 3D transcranial PACT.
{"title":"Fast aberration correction in 3D transcranial photoacoustic computed tomography via a learning-based image reconstruction method","authors":"Hsuan-Kai Huang , Joseph Kuo , Yang Zhang , Yousuf Aborahama , Manxiu Cui , Karteekeya Sastry , Seonyeong Park , Umberto Villa , Lihong V. Wang , Mark A. Anastasio","doi":"10.1016/j.pacs.2025.100698","DOIUrl":"10.1016/j.pacs.2025.100698","url":null,"abstract":"<div><div>Transcranial photoacoustic computed tomography (PACT) holds significant potential as a neuroimaging modality. However, compensating for skull-induced aberrations in reconstructed images remains a challenge. Although optimization-based image reconstruction methods (OBRMs) can account for the relevant wave physics, they are computationally demanding and generally require accurate estimates of the skull’s viscoelastic parameters. To circumvent these issues, a learning-based image reconstruction method was investigated for three-dimensional (3D) transcranial PACT. The method was systematically assessed in virtual imaging studies that involved stochastic 3D numerical head phantoms and applied to experimental data acquired by use of a physical head phantom that involved a human skull. The results demonstrated that the learning-based method yielded accurate images and exhibited robustness to errors in the assumed skull properties, while substantially reducing computational times compared to an OBRM. To the best of our knowledge, this is the first demonstration of a learned image reconstruction method for 3D transcranial PACT.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100698"},"PeriodicalIF":7.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143528763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-03-01DOI: 10.1016/j.pacs.2025.100706
Hualin Yan , Zehui Gou , Hong Wang , Xiaoxia Zhu , Juxian Liu , Wenwu Ling , Lin Huang , Yan Luo
Acute intussusception is a pediatric abdominal emergency that requires immediate diagnosis and treatment. However, accurately identifying bowel necrosis non-invasively remains challenging with conventional sonography. In our study, we investigated the potential of photoacoustic imaging (PAI) as an innovative method for assessing ischemia/hypoxia injury and intestinal necrosis in cases of acute intussusception. Using PAI, we measured intestinal oxygen saturation (sO2) levels and total hemoglobin (HbT) in various models of acute intussusception at different time points. Additionally, we evaluated blood supply and ischemia/hypoxia injury using color Doppler flow imaging (CDFI) and contrast-enhanced ultrasound (CEUS). Based on histopathological results, intestinal sO₂ measured by PAI demonstrated optimal diagnostic performance for both ischemia/hypoxia injury and intestinal necrosis, with AUC values of 0.997 and 0.982, respectively, while CDFI and CEUS showed relatively high diagnostic performance for both ischemia/hypoxia injury and intestinal necrosis. In conclusion, PAI represents a promising, non-invasive imaging modality for assessing acute intussusception.
{"title":"Photoacoustic oxygenation imaging to identify ischemia/hypoxia injury and necrosis of intestine after acute intussusception: A comparative study with CDFI/CEUS","authors":"Hualin Yan , Zehui Gou , Hong Wang , Xiaoxia Zhu , Juxian Liu , Wenwu Ling , Lin Huang , Yan Luo","doi":"10.1016/j.pacs.2025.100706","DOIUrl":"10.1016/j.pacs.2025.100706","url":null,"abstract":"<div><div>Acute intussusception is a pediatric abdominal emergency that requires immediate diagnosis and treatment. However, accurately identifying bowel necrosis non-invasively remains challenging with conventional sonography. In our study, we investigated the potential of photoacoustic imaging (PAI) as an innovative method for assessing ischemia/hypoxia injury and intestinal necrosis in cases of acute intussusception. Using PAI, we measured intestinal oxygen saturation (sO<sub>2</sub>) levels and total hemoglobin (HbT) in various models of acute intussusception at different time points. Additionally, we evaluated blood supply and ischemia/hypoxia injury using color Doppler flow imaging (CDFI) and contrast-enhanced ultrasound (CEUS). Based on histopathological results, intestinal sO₂ measured by PAI demonstrated optimal diagnostic performance for both ischemia/hypoxia injury and intestinal necrosis, with AUC values of 0.997 and 0.982, respectively, while CDFI and CEUS showed relatively high diagnostic performance for both ischemia/hypoxia injury and intestinal necrosis. In conclusion, PAI represents a promising, non-invasive imaging modality for assessing acute intussusception.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100706"},"PeriodicalIF":7.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143528762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-03-04DOI: 10.1016/j.pacs.2025.100712
Fan Yang , Zhengduo Yang , Zheng Zhu , Siwei Zhu , Wei Song , Yong Yang , Xiaocong Yuan
Accurate and rapid intraoperative diagnosis of micro-infiltration in early-stage tumors presents a formidable challenge for decades. Here, we propose a novel diagnostic approach, that combines Photoacoustic Morphological Imaging (PAMI) with an in situ broadband Photoacoustic Spectral Analysis (PASA), to implement intraoperative assessment of early-stage tumor while its high-frequencies between 50 and 150 MHz respond to various nuclei specifically. Our system, a broadband Ultraviolet Photoacoustic Microscopy (bUV-PAM), uniquely integrates ultraviolet laser-induced nucleus-specific photoacoustic excitation with broadband photoacoustic detection (up to 176 MHz at −6 dB) via an optical surface wave sensor. This approach facilitates the simultaneous acquisition of morphological and spectral information from unstained tissue sections, yielding a comprehensive dual-modality virtual slice within a single raster scan. Using human colorectal tissue samples, we applied the joint PAMI and in situ PASA approach across 6 case groups. Morphological features in PAMI showed a high concordance with Hematoxylin and Eosin (H&E) staining, whereas micro-infiltrative features were too indistinct to be identified in both PAMI and H&E images. In contrast, the PASA effectively distinguishes between micro-infiltrated and non-infiltrated tissues, a finding validated by subsequent Immunohistochemical (IHC) assessments. The preliminary results suggest that the joint approach holds potential to enhance intraoperative detection of micro-infiltration, thereby offering a promising avenue for accurate and rapid surgical margin assessment.
{"title":"A joint photoacoustic imaging and broadband spectral analysis for early-stage intraoperative pathology assessment: A case study with colorectal cancer","authors":"Fan Yang , Zhengduo Yang , Zheng Zhu , Siwei Zhu , Wei Song , Yong Yang , Xiaocong Yuan","doi":"10.1016/j.pacs.2025.100712","DOIUrl":"10.1016/j.pacs.2025.100712","url":null,"abstract":"<div><div>Accurate and rapid intraoperative diagnosis of micro-infiltration in early-stage tumors presents a formidable challenge for decades. Here, we propose a novel diagnostic approach, that combines Photoacoustic Morphological Imaging (PAMI) with an <em>in situ</em> broadband Photoacoustic Spectral Analysis (PASA), to implement intraoperative assessment of early-stage tumor while its high-frequencies between 50 and 150 MHz respond to various nuclei specifically. Our system, a broadband Ultraviolet Photoacoustic Microscopy (bUV-PAM), uniquely integrates ultraviolet laser-induced nucleus-specific photoacoustic excitation with broadband photoacoustic detection (up to 176 MHz at −6 dB) via an optical surface wave sensor. This approach facilitates the simultaneous acquisition of morphological and spectral information from unstained tissue sections, yielding a comprehensive dual-modality virtual slice within a single raster scan. Using human colorectal tissue samples, we applied the joint PAMI and <em>in situ</em> PASA approach across 6 case groups. Morphological features in PAMI showed a high concordance with Hematoxylin and Eosin (H&E) staining, whereas micro-infiltrative features were too indistinct to be identified in both PAMI and H&E images. In contrast, the PASA effectively distinguishes between micro-infiltrated and non-infiltrated tissues, a finding validated by subsequent Immunohistochemical (IHC) assessments. The preliminary results suggest that the joint approach holds potential to enhance intraoperative detection of micro-infiltration, thereby offering a promising avenue for accurate and rapid surgical margin assessment.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100712"},"PeriodicalIF":7.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-03-28DOI: 10.1016/j.pacs.2025.100717
Zhanshang Su , Pengpeng Wang , Zhengzhuo Li , Yawen Li , Tianxiang Zhao , Yujie Duan , Fupeng Wang , Cunguang Zhu
Photoacoustic spectroscopy (PAS) gas detection is frequently compromised by noise-induced correlation degradation, which significantly impacts measurement accuracy. To mitigate this issue, an advanced convolutional neural network (CNN) architecture, termed PSO-EAP-CNN, is proposed, which combines particle swarm optimization (PSO) with an ensemble augmented prediction (EAP) strategy. The proposed framework employs a multi-scale feature extraction mechanism through its convolutional architecture, while simultaneously optimizing network parameters via PSO, thereby achieving accelerated convergence and improved prediction stability. The incorporation of the EAP strategy further enhances the model's robustness and generalization ability under noisy conditions. Experimental results demonstrate significant improvements: compared to baseline CNN, PSO-EAP-CNN reduces MAE by 43.76 %, RMSE by 39.25 %, and MAPE by 51.15 %; compared to ordinary least squares regression, improvements reach 68.55 %, 67.43 %, and 75.21 % respectively. The model runs in only 10 seconds per execution. This work advances PAS-based gas detection, offering enhanced accuracy and noise resilience for practical trace gas analysis.
{"title":"Gas concentration prediction in photoacoustic spectroscopy using PSO-EAP-CNN to address correlation degradation","authors":"Zhanshang Su , Pengpeng Wang , Zhengzhuo Li , Yawen Li , Tianxiang Zhao , Yujie Duan , Fupeng Wang , Cunguang Zhu","doi":"10.1016/j.pacs.2025.100717","DOIUrl":"10.1016/j.pacs.2025.100717","url":null,"abstract":"<div><div>Photoacoustic spectroscopy (PAS) gas detection is frequently compromised by noise-induced correlation degradation, which significantly impacts measurement accuracy. To mitigate this issue, an advanced convolutional neural network (CNN) architecture, termed PSO-EAP-CNN, is proposed, which combines particle swarm optimization (PSO) with an ensemble augmented prediction (EAP) strategy. The proposed framework employs a multi-scale feature extraction mechanism through its convolutional architecture, while simultaneously optimizing network parameters via PSO, thereby achieving accelerated convergence and improved prediction stability. The incorporation of the EAP strategy further enhances the model's robustness and generalization ability under noisy conditions. Experimental results demonstrate significant improvements: compared to baseline CNN, PSO-EAP-CNN reduces MAE by 43.76 %, RMSE by 39.25 %, and MAPE by 51.15 %; compared to ordinary least squares regression, improvements reach 68.55 %, 67.43 %, and 75.21 % respectively. The model runs in only 10 seconds per execution. This work advances PAS-based gas detection, offering enhanced accuracy and noise resilience for practical trace gas analysis.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100717"},"PeriodicalIF":7.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-04-01DOI: 10.1016/j.pacs.2025.100704
Zhijin Shang , Hongpeng Wu , Gang Wang , Ruyue Cui , Biao Li , Ting Gong , Guqing Guo , Xuanbing Qiu , Chuanliang Li , Lei Dong
{"title":"Corrigendum to “Robust and compact light-induced thermoelastic sensor for atmospheric methane detection based on a vacuum-sealed subminiature tuning fork” [Photoacoustics 42 (2025) 100691]","authors":"Zhijin Shang , Hongpeng Wu , Gang Wang , Ruyue Cui , Biao Li , Ting Gong , Guqing Guo , Xuanbing Qiu , Chuanliang Li , Lei Dong","doi":"10.1016/j.pacs.2025.100704","DOIUrl":"10.1016/j.pacs.2025.100704","url":null,"abstract":"","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100704"},"PeriodicalIF":7.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-02-27DOI: 10.1016/j.pacs.2025.100707
Yingchao Xie , Hao Xiong , Shiling Feng , Ning Pan , Chuan Li , Yixuan Liu , Ye Zhang , Ligang Shao , Gaopeng Lu , Kun Liu , Guishi Wang
Quartz-enhanced photoacoustic spectroscopy (QEPAS) is a promising technique for trace gas sensing, offering advantages such as compact size and high sensitivity. However, noise remains a critical factor limiting detection sensitivity. In this study, a novel approach was proposed to leverage noise for the enhancement of weak QEPAS signals. The method employs stochastic resonance (SR), which counterintuitively utilizes noise to amplify weak spectral signals, thereby significantly improving the signal-to-noise ratio of the QEPAS sensor. The effectiveness of this approach was demonstrated through methane (CH₄) detection using QEPAS. Experimental results indicate that the SR algorithm enhances the output signal by a factor of 3 and reduces the minimum detection limit (MDL) from 329 ppb to 85 ppb compared to conventional QEPAS. The proposed SR-enhanced algorithm presents a promising strategy for further improving QEPAS sensor performance in trace gas detection.
{"title":"Sensitivity improvement of quartz-enhanced photoacoustic spectroscopy using the stochastic resonance method","authors":"Yingchao Xie , Hao Xiong , Shiling Feng , Ning Pan , Chuan Li , Yixuan Liu , Ye Zhang , Ligang Shao , Gaopeng Lu , Kun Liu , Guishi Wang","doi":"10.1016/j.pacs.2025.100707","DOIUrl":"10.1016/j.pacs.2025.100707","url":null,"abstract":"<div><div>Quartz-enhanced photoacoustic spectroscopy (QEPAS) is a promising technique for trace gas sensing, offering advantages such as compact size and high sensitivity. However, noise remains a critical factor limiting detection sensitivity. In this study, a novel approach was proposed to leverage noise for the enhancement of weak QEPAS signals. The method employs stochastic resonance (SR), which counterintuitively utilizes noise to amplify weak spectral signals, thereby significantly improving the signal-to-noise ratio of the QEPAS sensor. The effectiveness of this approach was demonstrated through methane (CH₄) detection using QEPAS. Experimental results indicate that the SR algorithm enhances the output signal by a factor of 3 and reduces the minimum detection limit (MDL) from 329 ppb to 85 ppb compared to conventional QEPAS. The proposed SR-enhanced algorithm presents a promising strategy for further improving QEPAS sensor performance in trace gas detection.</div></div>","PeriodicalId":56025,"journal":{"name":"Photoacoustics","volume":"43 ","pages":"Article 100707"},"PeriodicalIF":7.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143526961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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