Journal of Biomedical Optics最新文献

{"title":"Hyperspectral analysis to assess gametocytogenesis stage progression in malaria-infected human erythrocytes.","authors":"Ik Hwan Kwon, Ji Youn Lee, Fuyuki Tokumasu, Sang-Won Lee, Jeeseong Hwang","doi":"10.1117/1.JBO.30.2.023516","DOIUrl":"10.1117/1.JBO.30.2.023516","url":null,"abstract":"<p><strong>Significance: </strong>Developments of anti-gametocyte drugs have been delayed due to insufficient understanding of gametocyte biology. We report a systematic workflow of data processing algorithms to quantify changes in the absorption spectrum and cell morphology of single malaria-infected erythrocytes. These changes may serve as biomarkers instrumental for the future development of antimalarial strategies, especially for anti-gametocyte drug design and testing. Image-based biomarkers may also be useful for nondestructive, label-free malaria detection and drug efficacy evaluation in resource-limited communities.</p><p><strong>Aim: </strong>We extend the application of hyperspectral microscopy to provide detailed insights into gametocyte stage progression through the quantitative analysis of absorbance spectra and cell morphology in malaria-infected erythrocytes.</p><p><strong>Approach: </strong>Malaria-infected erythrocytes at asexual and different gametocytogenesis stages were imaged through hyperspectral confocal microscopy. The preprocessing of the hyperspectral data cubes to transform them to color images and spectral angle mapper (SAM) analysis were first used to segment hemoglobin (Hb)- and hemozoin (Hz)-abundant areas within the host erythrocytes. Correlations between changes in cell morphology and increasing Hz-abundant areas of the infected erythrocytes were then examined to test their potential as optical biomarkers to determine the progression of infection, involving transitions from asexual to various gametocytogenesis stages.</p><p><strong>Results: </strong>Following successful segmentation of Hb- and Hz-abundant areas in malaria-infected erythrocytes through SAM analysis, a modest correlation between the segmented Hz-abundant area and cell shape changes over time was observed. A significant increase in both the areal fraction of Hz and the ellipticity of the cell confirms that the Hz fraction change correlates with the progression of gametocytogenesis.</p><p><strong>Conclusions: </strong>Our workflow enables the quantification of changes in host cell morphology and the relative contents of Hb and Hz at various parasite growth stages. The quantified results exhibit a trend that both the segmented areal fraction of intracellular Hz and the ellipticity of the host cell increase as gametocytogenesis progresses, suggesting that these two metrics may serve as useful biomarkers to determine the stage of gametocytogenesis.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 2","pages":"023516"},"PeriodicalIF":3.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11757776/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143046965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital instrument simulator to optimize the development of hyperspectral systems: application for intraoperative functional brain mapping.","authors":"Charly Caredda, Frédéric Lange, Luca Giannoni, Ivan Ezhov, Thiébaud Picart, Jacques Guyotat, Ilias Tachtsidis, Bruno Montcel","doi":"10.1117/1.JBO.30.2.023513","DOIUrl":"https://doi.org/10.1117/1.JBO.30.2.023513","url":null,"abstract":"<p><strong>Significance: </strong>Intraoperative optical imaging is a localization technique for the functional areas of the human brain cortex during neurosurgical procedures. These areas can be assessed by monitoring cerebral hemodynamics and metabolism. Robust quantification of these biomarkers is complicated to perform during neurosurgery due to the critical context of the operating room. In actual devices, the inhomogeneities of the optical properties of the exposed brain cortex are poorly taken into consideration, which introduce quantification errors of biomarkers of brain functionality. Moreover, the best choice of spectral configuration is still based on an empirical approach.</p><p><strong>Aim: </strong>We propose a digital instrument simulator to optimize the development of hyperspectral systems for intraoperative brain mapping studies. This simulator can provide realistic modeling of the cerebral cortex and the identification of the optimal wavelengths to monitor cerebral hemodynamics (oxygenated <math> <mrow><msub><mi>HbO</mi> <mn>2</mn></msub> </mrow> </math> and deoxygenated hemoglobin Hb) and metabolism (oxidized state of cytochromes <math><mrow><mi>b</mi></mrow> </math> and <math><mrow><mi>c</mi></mrow> </math> and cytochrome-c-oxidase oxCytb, oxCytc, and oxCCO).</p><p><strong>Approach: </strong>The digital instrument simulator is computed with white Monte Carlo simulations of a volume created from a real image of exposed cortex. We developed an optimization procedure based on a genetic algorithm to identify the best wavelength combinations in the visible and near-infrared range to quantify concentration changes in <math> <mrow><msub><mi>HbO</mi> <mn>2</mn></msub> </mrow> </math> , Hb, oxCCO, and the oxidized state of cytochrome <math><mrow><mi>b</mi></mrow> </math> and <math><mrow><mi>c</mi></mrow> </math> (oxCytb and oxCytc).</p><p><strong>Results: </strong>The digital instrument allows the modeling of intensity maps collected by a camera sensor as well as images of path length to take into account the inhomogeneities of the optical properties. The optimization procedure helps to identify the best wavelength combination of 18 wavelengths that reduces the quantification errors in <math> <mrow><msub><mi>HbO</mi> <mn>2</mn></msub> </mrow> </math> , Hb, and oxCCO by 47%, 57%, and 57%, respectively, compared with the gold standard of 121 wavelengths between 780 and 900 nm. The optimization procedure does not help to resolve changes in cytochrome <math><mrow><mi>b</mi></mrow> </math> and <math><mrow><mi>c</mi></mrow> </math> in a significant way but helps to better resolve oxCCO changes.</p><p><strong>Conclusions: </strong>We proposed a digital instrument simulator to optimize the development of hyperspectral systems for intraoperative brain mapping studies. This digital instrument simulator and this optimization framework could be used to optimize the design of hyperspectral imaging devices.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 2","pages":"023513"},"PeriodicalIF":3.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11610766/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142769418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Photoacoustic imaging of rat kidney tissue oxygenation using second near-infrared wavelengths.","authors":"Vinoin Devpaul Vincely, Carolyn L Bayer","doi":"10.1117/1.JBO.30.2.026002","DOIUrl":"10.1117/1.JBO.30.2.026002","url":null,"abstract":"<p><strong>Significance: </strong>Conventionally, spectral photoacoustic imaging (sPAI) to assess tissue oxygenation ( <math> <mrow><msub><mi>sO</mi> <mn>2</mn></msub> </mrow> </math> ) uses optical wavelengths in the first near-infrared (NIR-I) window. This limits the maximum photoacoustic imaging depth due to the high spectral coloring of biological tissues and has been a major barrier to the clinical translation of the technique.</p><p><strong>Aim: </strong>We demonstrate the second near-infrared (NIR-II) tissue optical window (950 to 1400 nm) for the assessment of blood and tissue <math> <mrow><msub><mi>sO</mi> <mn>2</mn></msub> </mrow> </math> .</p><p><strong>Approach: </strong>The NIR-II PA spectra of oxygenated and deoxygenated hemoglobin were first characterized using a phantom. Optimal wavelengths to minimize spectral coloring were identified. The resulting NIR-II PA imaging methods were then validated <i>in vivo</i> by measuring kidney <math> <mrow><msub><mi>sO</mi> <mn>2</mn></msub> </mrow> </math> in adult female rats.</p><p><strong>Results: </strong>sPAI of whole blood, in a phantom, and of blood in kidneys <i>in vivo</i> produced PA spectra proportional to wavelength-dependent optical absorption. Using the NIR-II wavelengths for spectral unmixing resulted in a <math><mrow><mo>∼</mo> <mn>50</mn> <mo>%</mo></mrow> </math> decrease in the error of the estimated blood <math> <mrow><msub><mi>sO</mi> <mn>2</mn></msub> </mrow> </math> , compared with conventional NIR-I wavelengths. <i>In vivo</i> measurements of kidney <math> <mrow><msub><mi>sO</mi> <mn>2</mn></msub> </mrow> </math> validated these findings, with a similar 50% reduction in error when using NIR-II wavelengths versus NIR-I wavelengths at larger illumination depths.</p><p><strong>Conclusions: </strong>sPAI using NIR-II wavelengths improved the accuracy of tissue <math> <mrow><msub><mi>sO</mi> <mn>2</mn></msub> </mrow> </math> measurements. This is likely due to reduced scattering, which reduces the attenuation and, therefore, the impact of spectral coloring in this wavelength range. Combined with the increased safe skin exposure fluence limits in this wavelength range, these results demonstrate the potential to use NIR-II wavelengths for quantitative sPAI of <math> <mrow><msub><mi>sO</mi> <mn>2</mn></msub> </mrow> </math> from deep heterogeneous tissues.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 2","pages":"026002"},"PeriodicalIF":3.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11833698/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143449143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Introduction to the Special Issue on Molecular Guided Surgery.","authors":"Brian W Pogue, Sylvain Gioux, Summer L Gibbs","doi":"10.1117/1.JBO.30.S1.S13701","DOIUrl":"https://doi.org/10.1117/1.JBO.30.S1.S13701","url":null,"abstract":"<p><p>The editorial completes the Special Issue on Molecular Guided Surgery for Volume 30 of the Journal of Biomedical Optics.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 Suppl 1","pages":"S13701"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12058429/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144026156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring near-infrared autofluorescence properties in parathyroid tissue: an analysis of fresh and paraffin-embedded thyroidectomy specimens.","authors":"Bo Wang, Chi-Peng Zhou, Wei Ao, Shao-Jun Cai, Zhi-Wen Ge, Jun Wang, Wen-Yu Huang, Jia-Fan Yu, Si-Bin Wu, Shou-Yi Yan, Li-Yong Zhang, Si-Si Wang, Zhi-Hong Wang, Surong Hua, Amr H Abdelhamid Ahmed, Gregory W Randolph, Wen-Xin Zhao","doi":"10.1117/1.JBO.30.S1.S13702","DOIUrl":"10.1117/1.JBO.30.S1.S13702","url":null,"abstract":"<p><strong>Significance: </strong>Near-infrared autofluorescence (NIRAF) utilizes the natural autofluorescence of parathyroid glands (PGs) to improve their identification during thyroid surgeries, reducing the risk of inadvertent removal and subsequent complications such as hypoparathyroidism. This study evaluates NIRAF's effectiveness in real-world surgical settings, highlighting its potential to enhance surgical outcomes and patient safety.</p><p><strong>Aim: </strong>We evaluate the effectiveness of NIRAF in detecting PGs during thyroidectomy and central neck dissection and investigate autofluorescence characteristics in both fresh and paraffin-embedded tissues.</p><p><strong>Approach: </strong>We included 101 patients diagnosed with papillary thyroid cancer who underwent surgeries in 2022 and 2023. We assessed NIRAF's ability to locate PGs, confirmed via parathyroid hormone assays, and involved both junior and senior surgeons. We measured the accuracy, speed, and agreement levels of each method and analyzed autofluorescence persistence and variation over 10 years, alongside the expression of calcium-sensing receptor (CaSR) and vitamin D.</p><p><strong>Results: </strong>NIRAF demonstrated a sensitivity of 89.5% and a negative predictive value of 89.1%. However, its specificity and positive predictive value (PPV) were 61.2% and 62.3%, respectively, which are considered lower. The kappa statistic indicated moderate to substantial agreement (kappa = 0.478; <math><mrow><mi>P</mi> <mo><</mo> <mn>0.001</mn></mrow> </math> ). Senior surgeons achieved high specificity (86.2%) and PPV (85.3%), with substantial agreement (kappa = 0.847; <math><mrow><mi>P</mi> <mo><</mo> <mn>0.001</mn></mrow> </math> ). In contrast, junior surgeons displayed the lowest kappa statistic among the groups, indicating minimal agreement (kappa = 0.381; <math><mrow><mi>P</mi> <mo><</mo> <mn>0.001</mn></mrow> </math> ). Common errors in NIRAF included interference from brown fat and eschar. In addition, paraffin-embedded samples retained stable autofluorescence over 10 years, showing no significant correlation with CaSR and vitamin D levels.</p><p><strong>Conclusions: </strong>NIRAF is useful for PG identification in thyroid and neck surgeries, enhancing efficiency and reducing inadvertent PG removals. The stability of autofluorescence in paraffin samples suggests its long-term viability, with false positives providing insights for further improvements in NIRAF technology.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 Suppl 1","pages":"S13702"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11256002/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141734166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wearable optical coherence tomography angiography probe with extended depth of field.","authors":"Xiaochen Li, Xiangyu Guo, Xinyue Wang, Lingqi Jiang, Mingxin Li, Xiaochuan Dai, Qun Hao, Jingjing Zhao, Yong Huang, Liqun Sun","doi":"10.1117/1.JBO.30.1.016003","DOIUrl":"10.1117/1.JBO.30.1.016003","url":null,"abstract":"<p><strong>Significance: </strong>Optical coherence tomography (OCT) is widely utilized to investigate brain activities and disorders in anesthetized or restrained rodents. However, anesthesia can alter several physiological parameters, leading to findings that might not fully represent the true physiological state. To advance the understanding of brain function in awake and freely moving animals, the development of wearable OCT probes is crucial.</p><p><strong>Aim: </strong>We aim to address the challenge of insufficient depth of field (DOF) in wearable OCT probes for brain imaging in freely moving mice, ensuring high lateral resolution while capturing brain vasculature across varying heights.</p><p><strong>Approach: </strong>We integrated diffractive optical elements (DOEs) capable of generating beams with an extended DOF into a wearable OCT probe. This design effectively overcomes the traditional trade-off between lateral resolution and DOF, enabling the capture of detailed angiographic images in a dynamic and uncontrolled environment.</p><p><strong>Results: </strong>The enhanced wearable OCT probe achieved a lateral resolution superior to <math><mrow><mn>8</mn> <mtext>  </mtext> <mi>μ</mi> <mi>m</mi></mrow> </math> within a <math><mrow><mn>450</mn> <mtext>  </mtext> <mi>μ</mi> <mi>m</mi></mrow> </math> axial range. This setup allowed for high-resolution optical coherence tomography angiography (OCTA) imaging with extended DOF, making it suitable for studying brain vasculature in freely moving mice.</p><p><strong>Conclusions: </strong>The incorporation of DOEs into the wearable OCT probe represents a significant advancement in wearable biomedical imaging. This technology facilitates the acquisition of high-resolution angiographic images with an extended DOF, thus enhancing the ability to study brain function in awake and naturally behaving animals.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 1","pages":"016003"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11752921/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143023531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative assessment of the generalizability of a brain tumor Raman spectroscopy machine learning model to various tumor types including astrocytoma and oligodendroglioma.","authors":"Frédéric Leblond, Frédérick Dallaire, Katherine Ember, Alice Le Moël, Victor Blanquez-Yeste, Hugo Tavera, Guillaume Sheehy, Trang Tran, Marie-Christine Guiot, Alexander G Weil, Roy Dudley, Costas Hadjipanayis, Kevin Petrecca","doi":"10.1117/1.JBO.30.1.010501","DOIUrl":"10.1117/1.JBO.30.1.010501","url":null,"abstract":"<p><strong>Significance: </strong>Maximal safe resection of brain tumors can be performed by neurosurgeons through the use of accurate and practical guidance tools that provide real-time information during surgery. Current established adjuvant intraoperative technologies include neuronavigation guidance, intraoperative imaging (MRI and ultrasound), and 5-ALA for fluorescence-guided surgery.</p><p><strong>Aim: </strong>We have developed intraoperative Raman spectroscopy as a real-time decision support system for neurosurgical guidance in brain tumors. Using a machine learning model, trained on data from a multicenter clinical study involving 67 patients, the device achieved diagnostic accuracies of 91% for glioblastoma, 97% for brain metastases, and 96% for meningiomas. Here, the aim is to assess the generalizability of a predictive model trained with data from this study to other types of brain tumors.</p><p><strong>Approach: </strong>A method was developed to assess the generalizability of the model, quantifying performance for tumors including astrocytoma, oligodendroglioma and ependymoma, pediatric glioblastoma, and classification of glioblastoma data acquired in the presence of 5-ALA induced fluorescence. Statistical analyses were conducted to assess the impact of vibrational bands beyond contributors identified in our previous research.</p><p><strong>Results: </strong>A machine learning brain tumor detection model showed a positive predictive value (PPV) of 70% for astrocytoma, 74% for oligodendroglioma, and 100% for ependymoma. Furthermore, the PPV was 100% in classifying spectra from a pediatric glioblastoma and 90% for detecting adult glioblastoma labeled with 5-ALA-induced fluorescence. Univariate statistical analyses applied to individual vibrational bands demonstrated that the inclusion of Raman biomarkers unexploited to date had the potential to improve detectability, setting the stage for future advances.</p><p><strong>Conclusions: </strong>Developing predictive models relying on the inelastic scattering contrast from a wider pool of Raman bands may improve detection accuracy for astrocytoma and oligodendroglioma. To do so, larger tumor datasets and a higher Raman photon signal-to-noise ratio may be required.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 1","pages":"010501"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11758428/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143046983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks.","authors":"Teo Manojlović, Tadej Tomanič, Ivan Štajduhar, Matija Milanič","doi":"10.1117/1.JBO.30.1.016004","DOIUrl":"10.1117/1.JBO.30.1.016004","url":null,"abstract":"<p><strong>Significance: </strong>Machine learning models for the direct extraction of tissue parameters from hyperspectral images have been extensively researched recently, as they represent a faster alternative to the well-known iterative methods such as inverse Monte Carlo and inverse adding-doubling (IAD).</p><p><strong>Aim: </strong>We aim to develop a Bayesian neural network model for robust prediction of physiological parameters from hyperspectral images.</p><p><strong>Approach: </strong>We propose a two-component system for extracting physiological parameters from hyperspectral images. First, our system models the relationship between the measured spectra and the tissue parameters as a distribution rather than a point estimate and is thus able to generate multiple possible solutions. Second, the proposed tissue parameters are then refined using the neural network that approximates the biological tissue model.</p><p><strong>Results: </strong>The proposed model was tested on simulated and <i>in vivo</i> data. It outperformed current models with an overall mean absolute error of 0.0141 and can be used as a faster alternative to the IAD algorithm.</p><p><strong>Conclusions: </strong>Results suggest that Bayesian neural networks coupled with the approximation of a biological tissue model can be used to reliably and accurately extract tissue properties from hyperspectral images on the fly.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 1","pages":"016004"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11737236/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143006170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Two-stage diffuse fluorescence tomography for monitoring of drug distribution in photodynamic therapy of tumors.","authors":"Stefan Šušnjar, Muhammad Daniyal Ghauri, Björn Thomasson, Sanathana Konugolu Venkata Sekar, Stefan Andersson-Engels, Johannes Swartling, Nina Reistad","doi":"10.1117/1.JBO.30.1.015003","DOIUrl":"10.1117/1.JBO.30.1.015003","url":null,"abstract":"<p><strong>Significance: </strong>The spatial distribution of the photosensitizing drug concentration is an important parameter for predicting the photodynamic therapy (PDT) outcome. Current diffuse fluorescence tomography methods lack accuracy in quantifying drug concentration. The development of accurate methods for monitoring the temporal evolution of the drug distribution in tissue can advance the real-time light dosimetry in PDT of tumors, leading to better treatment outcomes.</p><p><strong>Aim: </strong>We develop diffuse optical tomography methods based on interstitial fluorescence measurements to accurately reconstruct the spatial distribution of fluorescent photosensitizing drugs in real-time.</p><p><strong>Approach: </strong>A two-stage reconstruction algorithm is proposed. The capabilities and limitations of this method are studied in various simulated scenarios. For the first time, experimental validation is conducted using the clinical system for interstitial PDT of prostate cancer on prostate tissue-mimicking phantoms with the photosensitizer verteporfin.</p><p><strong>Results: </strong>The average relative error of the reconstructed fluorophore absorption was less than 10%, whereas the fluorescent inclusion reconstructed volume relative error was less than 35%.</p><p><strong>Conclusions: </strong>The proposed method can be used to monitor the temporal evolution of the photosensitizing drug concentration in tumor tissue during photodynamic therapy. This is an important step forward in the development of the next generation of real-time light dosimetry algorithms for photodynamic therapy.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 1","pages":"015003"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11781220/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143065985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a portable testing chamber to assess imaging performance of laparoscopes in low- and middle-income countries.","authors":"Anne Christine Barnes, Michele Kaluzienski, Tri Quang, Jason Chen, Surabhi Singh, Wilhelm Smith, Talya Simcox, Paula Kworekwa, Rebecca Kaaya Nansubuga, Robert Ssekitoleko, Tamara N Fitzgerald, Jenna L Mueller","doi":"10.1117/1.JBO.30.1.016001","DOIUrl":"10.1117/1.JBO.30.1.016001","url":null,"abstract":"<p><strong>Significance: </strong>Laparoscopic surgery is generally unavailable in low- and middle-income countries (LMICs) due to the high cost of installation and lack of qualified personnel to maintain and repair equipment. We developed a low-cost, durable, reusable laparoscopic system, called the KeyScope laparoscope, for use in LMICs. To reliably build and service the KeyScope in LMICs, a portable testing chamber (PTC) is needed to assess image performance.</p><p><strong>Aim: </strong>A PTC was developed to characterize KeyScope laparoscope performance in LMICs.</p><p><strong>Approach: </strong>Images of standard resolution, color accuracy, distortion, and depth of field (DOF) targets were captured in both a standard optical bench setup (OBS) and the PTC. Measurements from the OBS and PTC were quantified and compared using standard software (ImageJ and Imatest). To further reduce cost, alternative paper imaging targets were identified and compared with standard glass targets. To improve usability, MATLAB applications (apps) were developed to automate image analysis and reduce cost.</p><p><strong>Results: </strong>The PTC achieved similar results compared to the OBS for the image quality metrics, distortion and DOF. Further, the PTC presented similar results to the OBS for resolution at 4 to 7 cm working distances and improved resolution at periphery working distances of 3 and 10 cm. Color accuracy values were also improved in the PTC compared with those measured in the OBS. The low-cost resolution, color accuracy, and distortion targets resulted in similar image quality results to the standard image quality target. MATLAB apps produced similar results to Imatest and ImageJ software and decreased the time to complete image quality test analysis.</p><p><strong>Conclusion: </strong>The low-cost portable design of the PTC will facilitate the translation of the KeyScope by enabling accurate and fast characterization of laparoscopic imaging performance in LMICs.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 1","pages":"016001"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11781219/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143065983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}