Journal of Biomedical Optics最新文献

{"title":"Comparing spatial distributions of ALA-PpIX and indocyanine green in a whole pig brain glioma model using 3D fluorescence cryotomography.","authors":"Augustino V Scorzo, Caleb Y Kwon, Rendall R Strawbridge, Ryan B Duke, Kristen L Chen, Chengpei Li, Xiaoyao Fan, P Jack Hoopes, David W Roberts, Keith D Paulsen, Scott C Davis","doi":"10.1117/1.JBO.30.S1.S13704","DOIUrl":"10.1117/1.JBO.30.S1.S13704","url":null,"abstract":"<p><strong>Significance: </strong>ALA-PpIX and second-window indocyanine green (ICG) have been studied widely for guiding the resection of high-grade gliomas. These agents have different mechanisms of action and uptake characteristics, which can affect their performance as surgical guidance agents. Elucidating these differences in animal models that approach the size and anatomy of the human brain would help guide the use of these agents. Herein, we report on the use of a new pig glioma model and fluorescence cryotomography to evaluate the 3D distributions of both agents throughout the whole brain.</p><p><strong>Aim: </strong>We aim to assess and compare the 3D spatial distributions of ALA-PpIX and second-window ICG in a glioma-bearing pig brain using fluorescence cryotomography.</p><p><strong>Approach: </strong>A glioma was induced in the brain of a transgenic Oncopig via adeno-associated virus delivery of Cre-recombinase plasmids. After tumor induction, the pro-drug 5-ALA and ICG were administered to the animal 3 and 24 h prior to brain harvest, respectively. The harvested brain was imaged using fluorescence cryotomography. The fluorescence distributions of both agents were evaluated in 3D in the whole brain using various spatial distribution and contrast performance metrics.</p><p><strong>Results: </strong>Significant differences in the spatial distributions of both agents were observed. Indocyanine green accumulated within the tumor core, whereas ALA-PpIX appeared more toward the tumor periphery. Both ALA-PpIX and second-window ICG provided elevated tumor-to-background contrast (13 and 23, respectively).</p><p><strong>Conclusions: </strong>This study is the first to demonstrate the use of a new glioma model and large-specimen fluorescence cryotomography to evaluate and compare imaging agent distribution at high resolution in 3D.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 Suppl 1","pages":"S13704"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11379406/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142154209","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":"Photosensitizer spatial heterogeneity and its impact on personalized interstitial photodynamic therapy treatment planning.","authors":"Tina Saeidi, Shuran Wang, Hector A Contreras, Michael J Daly, Vaughn Betz, Lothar Lilge","doi":"10.1117/1.JBO.30.1.018001","DOIUrl":"10.1117/1.JBO.30.1.018001","url":null,"abstract":"<p><strong>Significance: </strong>Personalized photodynamic therapy (PDT) treatment planning requires knowledge of the spatial and temporal co-localization of photons, photosensitizers (PSs), and oxygen. The inter- and intra-subject variability in the photosensitizer concentration can lead to suboptimal outcomes using standard treatment plans.</p><p><strong>Aim: </strong>We aim to quantify the PS spatial variation in tumors and its effect on PDT treatment planning solutions.</p><p><strong>Approach: </strong>The spatial variability of two PSs is imaged at various spatial resolutions for an orthotopic rat glioma model and applied <i>in silico</i> to human glioblastoma models to determine the spatial PDT dose, including in organs at risk. An open-source interstitial photodynamic therapy (iPDT) planning tool is applied to these models, deriving the spatial photosensitizer quantification resolution that consistently impacts iPDT source placement and power allocation.</p><p><strong>Results: </strong>The <i>ex vivo</i> studies revealed a bimodal photosensitizer distribution in the tumor. The concentration of the PS can vary by a factor of 2 between the tumor core and rim, with slight variation within the core but a factor of 5 in the rim. An average sampling volume of <math><mrow><mn>1</mn> <mtext>  </mtext> <msup><mrow><mi>mm</mi></mrow> <mrow><mn>3</mn></mrow> </msup> </mrow> </math> for photosensitizer quantification will result in significantly different iPDT planning solutions for each case.</p><p><strong>Conclusions: </strong>Assuming homogeneous photosensitizer distribution results in suboptimal therapeutic outcomes, we highlight the need to predict the photosensitizer distribution before source placement for effective treatment plans.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 1","pages":"018001"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11724368/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142970960","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":"Label-free imaging flow cytometry for cell classification based directly on multiple off-axis holographic projections.","authors":"Dana Aharoni, Matan Dudaie, Itay Barnea, Natan Tzvi Shaked","doi":"10.1117/1.JBO.30.1.016007","DOIUrl":"10.1117/1.JBO.30.1.016007","url":null,"abstract":"<p><strong>Significance: </strong>Imaging flow cytometry allows highly informative multi-point cell analysis for biological assays and medical diagnosis. Rapid processing of the imaged cells during flow allows real-time classification and sorting of the cells. Off-axis holography enables imaging flow cytometry without chemical cell staining but requires digital processing to the optical path delay profile for each frame before the cells can be classified, which slows down the overall processing throughput. We present a method for real-time cell classification via label-free quantitative imaging flow cytometry using digital holography, offering a comprehensive representation of cellular structures, without the need for digital processing before automatic cell classification.</p><p><strong>Aim: </strong>We aim to develop an automatic cell classification scheme based directly on the off-axis holographic projections of the cells during flow and test it for stain-free imaging flow cytometry of white blood cells.</p><p><strong>Approach: </strong>After building a dedicated off-axis holographic microscopy system for acquiring white blood cells during flow, we apply deep-learning classification directly in the off-axis hologram space, rather than in the quantitative phase profile space. This way, we simplify computational processes and allow a significant increase in the cell classification throughput. In addition, by utilizing multiple-viewpoint holographic projections of the cells rotated during flow, instead of using a single projection, we obtain better classification results due to the additional cellular information gained.</p><p><strong>Results: </strong>Our technique demonstrates increasing accuracy with additional viewpoint holographic projections from the optical system, achieving a 7.69% improvement when processing ten interferometric projections compared with a single interferometric projection (regular off-axis hologram). Our technique also outperforms using multiple optical path delay profile projections, requiring off-axis holographic digital preprocessing, by 17.95%, because the holographic projections are analyzed directly without preprocessing and includes the amplitude information as well.</p><p><strong>Conclusions: </strong>Our cell classification approach has great potential for high-throughput, high-content, label-free imaging flow cytometry for classification of large-scale cellular datasets and real-time cell classification during flow in clinical settings.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 1","pages":"016007"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11754690/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143028821","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":"Combined dual-channel fluorescence depth sensing of indocyanine green and protoporphyrin IX kinetics in subcutaneous murine tumors.","authors":"Madhusudan B Kulkarni, Matthew S Reed, Xu Cao, Héctor A García, Marien I Ochoa, Shudong Jiang, Tayyaba Hasan, Marvin M Doyley, Brian W Pogue","doi":"10.1117/1.JBO.30.S1.S13709","DOIUrl":"10.1117/1.JBO.30.S1.S13709","url":null,"abstract":"<p><strong>Significance: </strong>Fluorescence sensing within tissue is an effective tool for tissue characterization; however, the modality and geometry of the image acquisition can alter the observed signal.</p><p><strong>Aim: </strong>We introduce a novel optical fiber-based system capable of measuring two fluorescent contrast agents through 2 cm of tissue with simple passive electronic switching between the excitation light, simultaneously acquiring fluorescence and excitation data. The goal was to quantify indocyanine green (ICG) and protoporphyrin IX (PpIX) within tissue, and the sampling method was compared with wide-field surface imaging to contrast the value of deep sensing versus surface imaging.</p><p><strong>Approach: </strong>This was achieved by choosing filters for specific wavelengths that were mutually exclusive between ICG and PpIX and coupling these filters to two separate detectors, which allows for direct swapping of the excitation and emission channels by switching the on-time of each excitation laser between 780- and 633-nm wavelengths.</p><p><strong>Results: </strong>This system was compared with two non-contact surface imaging systems for both ICG and PpIX, which revealed that the fluorescence depth sensing system was superior in its ability to resolve kinetics differences in deeper tissues that would normally be dominated by strong signals from skin and other surface tissues. Specifically, the system was tested using pancreatic adenocarcinoma tumors injected into murine models, which were imaged at several time points throughout tumor growth to its <math><mrow><mo>∼</mo> <mn>6</mn> <mtext>-</mtext> <mi>mm</mi></mrow> </math> diameter. This demonstrated the system's capability to track longitudinal changes in ICG and PpIX kinetics that result from tumor growth and development, with larger tumors showing sluggish uptake and clearance of ICG, which was not observable with surface imaging. Similarly, PpIX was quantified, which showed slower kinetics over different time points, and was further compared with the wide-filed imager. These results were further validated through depth measurements in tissue phantoms and model-based interpretation.</p><p><strong>Conclusion: </strong>This fluorescence depth sensing system can be used to sample the interior blood flow characteristics by ICG sensing of tissue as deep as 20 mm into the tissue with sensitivity to kinetics that are superior to surface imaging and may be combined with other imaging modalities such as ultrasound to provide guided deep fluorescence measurements.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 Suppl 1","pages":"S13709"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11571966/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668150","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":"Analytical sensitivity factors from distributions of time of flight of photons for near-infrared spectroscopy studies in multilayered turbid media.https://pubmed.ncbi.nlm.nih.gov/39845728/","authors":"Héctor A García, Demián A Vera, Nicolás A Carbone, María V Waks-Serra, Juan A Pomarico","doi":"10.1117/1.JBO.30.1.015002","DOIUrl":"10.1117/1.JBO.30.1.015002","url":null,"abstract":"<p><strong>Significance: </strong>In the last years, time-resolved near-infrared spectroscopy (TD-NIRS) has gained increasing interest as a tool for studying tissue spectroscopy with commercial devices. Although it provides much more information than its continuous wave counterpart, accurate models interpreting the measured raw data in real time are still lacking.</p><p><strong>Aim: </strong>We introduce an analytical model that can be integrated and used in TD-NIRS data processing software and toolkits in real time. This is based on the so-called sensitivity factors (SFs) of the distributions of time of flight (DTOFs) of photons measured in optically turbid and semi-infinite multilayered media, such as the human head.</p><p><strong>Approach: </strong>We derived analytical expressions for the SFs that link changes in the absorption coefficient of each layer to changes in the statistical moments of DTOFs acquired in a reflectance configuration. This was later validated with results from Monte Carlo (MC) simulations, which stand as the gold standard in terms of photon migration in biological tissue. Next, we designed a couple of simulated experiments depicting how the analytical SFs can be used to retrieve absorption changes in the particular case of a five-layered medium.</p><p><strong>Results: </strong>Comparison between theory and simulations in 2-, 5-, and 10-layered media showed very good agreement (in most cases with weighted mean absolute percentage errors below 10%). Moreover, our derivations could be run in a few milliseconds (except for the extreme case of the variance SF in the 10-layered medium), which means a speedup of up to 10,000× with respect to MC simulations, with a much better spatial resolution and without their typically associated stochastic noise.</p><p><strong>Conclusions: </strong>In summary, our method achieves performances similar to those given by MC simulations, but orders of magnitude faster, which makes it very suitable for its implementation in real-time applications.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 1","pages":"015002"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11753179/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143023527","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":"Low-cost microvascular phantom for photoacoustic imaging using loofah.","authors":"Jinhua Xu, Yixiao Lin, Sanskar Thakur, Haolin Nie, Lukai Wang, Quing Zhu","doi":"10.1117/1.JBO.30.1.016006","DOIUrl":"10.1117/1.JBO.30.1.016006","url":null,"abstract":"<p><strong>Significance: </strong>Existing photoacoustic phantoms are unable to mimic complex microvascular structures with varying sizes and distributions. A suitable material with structures that mimic intricate microvascular networks is needed.</p><p><strong>Aim: </strong>Our aim is to introduce loofah as a natural phantom material with complex fiber networks ranging from 50 to <math><mrow><mn>300</mn> <mtext>  </mtext> <mi>μ</mi> <mi>m</mi></mrow> </math> , enabling the fabrication of phantoms with controlled optical properties comparable to those of human microvasculature.</p><p><strong>Approach: </strong>By introducing a controllable chromophore into the loofah material, we controlled its absorption properties. The loofah's vasculature-mimetic capabilities and stability in photoacoustic signal generation were evaluated using co-registered ultrasound, acoustic-resolution photoacoustic microscopy (ARPAM), and optical-resolution photoacoustic microscopy (ORPAM).</p><p><strong>Results: </strong>ORPAM results confirmed the loofah's ability to control chromophore distribution, leading to consistent and regulated photoacoustic signals. ARPAM results demonstrated that the loofah phantom effectively replicates vascular structures, exhibiting superior performance in mimicking microvascular networks compared with commonly used tissue-mimetic phantoms. The dominant diameter range of the phantom's microvasculature was between 100 and <math><mrow><mn>250</mn> <mtext>  </mtext> <mi>μ</mi> <mi>m</mi></mrow> </math> , aligning well with the targeted range and facilitating meaningful comparisons with human vascular structures.</p><p><strong>Conclusions: </strong>The loofah material provides a low-cost and effective method for creating submillimeter microvascular phantoms for photoacoustic imaging. Its exceptional morphology and customizability allow it to be shaped into various vascular network configurations, enhancing the fidelity of phantom imaging and assisting in system calibration and validation. In addition, data obtained from this realistic microvascular phantom can offer greater opportunities for training machine learning models.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 1","pages":"016006"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11745268/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143006168","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":"Optical coherence tomography-enabled classification of the human venoatrial junction.","authors":"Arielle S Joasil, Aidan M Therien, Christine P Hendon","doi":"10.1117/1.JBO.30.1.016005","DOIUrl":"10.1117/1.JBO.30.1.016005","url":null,"abstract":"<p><strong>Significance: </strong>Radiofrequency ablation to treat atrial fibrillation (AF) involves isolating the pulmonary vein from the left atria to prevent AF from occurring. However, creating ablation lesions within the pulmonary veins can cause adverse complications.</p><p><strong>Aim: </strong>We propose automated classification algorithms to classify optical coherence tomography (OCT) volumes of human venoatrial junctions.</p><p><strong>Approach: </strong>A dataset of comprehensive OCT volumes of 26 venoatrial junctions was used for this study. Texture, statistical, and optical features were extracted from OCT patches. Patches were classified as a left atrium or pulmonary vein using random forest (RF), logistic regression (LR), and convolutional neural networks (CNNs). The features were inputs into the RF and LR classifiers. The inputs to the CNNs included: (1) patches and (2) an ensemble of patches and patch-derived features.</p><p><strong>Results: </strong>Utilizing a sevenfold cross-validation, the patch-only CNN balances sensitivity and specificity best, with an area under the receiver operating characteristic (AUROC) curve of <math><mrow><mn>0.84</mn> <mo>±</mo> <mn>0.109</mn></mrow> </math> across the test sets. RF is more sensitive than LR, with an AUROC curve of <math><mrow><mn>0.78</mn> <mo>±</mo> <mn>0.102</mn></mrow> </math> .</p><p><strong>Conclusions: </strong>Cardiac tissues can be identified in benchtop OCT images by automated analysis. Extending this analysis to data obtained <i>in vivo</i> is required to tune automated analysis further. Performing this classification <i>in vivo</i> could aid doctors in identifying substrates of interest and treating AF.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 1","pages":"016005"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11747903/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143006169","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":"Impact of signal-to-noise ratio and contrast definition on the sensitivity assessment and benchmarking of fluorescence molecular imaging systems.","authors":"Elena Kriukova, Ethan LaRochelle, T Joshua Pfefer, Udayakumar Kanniyappan, Sylvain Gioux, Brian Pogue, Vasilis Ntziachristos, Dimitris Gorpas","doi":"10.1117/1.JBO.30.S1.S13703","DOIUrl":"10.1117/1.JBO.30.S1.S13703","url":null,"abstract":"<p><strong>Significance: </strong>Standardization of fluorescence molecular imaging (FMI) is critical for ensuring quality control in guiding surgical procedures. To accurately evaluate system performance, two metrics, the signal-to-noise ratio (SNR) and contrast, are widely employed. However, there is currently no consensus on how these metrics can be computed.</p><p><strong>Aim: </strong>We aim to examine the impact of SNR and contrast definitions on the performance assessment of FMI systems.</p><p><strong>Approach: </strong>We quantified the SNR and contrast of six near-infrared FMI systems by imaging a multi-parametric phantom. Based on approaches commonly used in the literature, we quantified seven SNRs and four contrast values considering different background regions and/or formulas. Then, we calculated benchmarking (BM) scores and respective rank values for each system.</p><p><strong>Results: </strong>We show that the performance assessment of an FMI system changes depending on the background locations and the applied quantification method. For a single system, the different metrics can vary up to <math><mrow><mo>∼</mo> <mn>35</mn> <mtext>  </mtext> <mi>dB</mi></mrow> </math> (SNR), <math><mrow><mo>∼</mo> <mn>8.65</mn> <mtext>  </mtext> <mi>a</mi> <mo>.</mo> <mi>u</mi></mrow> </math> . (contrast), and <math><mrow><mo>∼</mo> <mn>0.67</mn> <mtext>  </mtext> <mi>a</mi> <mo>.</mo> <mi>u</mi></mrow> </math> . (BM score).</p><p><strong>Conclusions: </strong>The definition of precise guidelines for FMI performance assessment is imperative to ensure successful clinical translation of the technology. Such guidelines can also enable quality control for the already clinically approved indocyanine green-based fluorescence image-guided surgery.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 Suppl 1","pages":"S13703"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11256003/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141734245","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":"Speckle-illumination spatial frequency domain imaging with a stereo laparoscope for profile-corrected optical property mapping.","authors":"Anthony A Song, Mason T Chen, Taylor L Bobrow, Nicholas J Durr","doi":"10.1117/1.JBO.30.S1.S13710","DOIUrl":"10.1117/1.JBO.30.S1.S13710","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Significance: &lt;/strong&gt;Laparoscopic surgery presents challenges in localizing oncological margins due to poor contrast between healthy and malignant tissues. Optical properties can uniquely identify various tissue types and disease states with high sensitivity and specificity, making it a promising tool for surgical guidance. Although spatial frequency domain imaging (SFDI) effectively measures quantitative optical properties, its deployment in laparoscopy is challenging due to the constrained imaging environment. Thus, there is a need for compact structured illumination techniques to enable accurate, quantitative endogenous contrast in minimally invasive surgery.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Aim: &lt;/strong&gt;We introduce a compact, two-camera laparoscope that incorporates both active stereo depth estimation and speckle-illumination SFDI (si-SFDI) to map profile-corrected, pixel-level absorption ( &lt;math&gt; &lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;μ&lt;/mi&gt; &lt;mi&gt;a&lt;/mi&gt;&lt;/msub&gt; &lt;/mrow&gt; &lt;/math&gt; ), and reduced scattering ( &lt;math&gt; &lt;mrow&gt; &lt;msubsup&gt;&lt;mrow&gt;&lt;mi&gt;μ&lt;/mi&gt;&lt;/mrow&gt; &lt;mrow&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/mrow&gt; &lt;mrow&gt;&lt;mo&gt;'&lt;/mo&gt;&lt;/mrow&gt; &lt;/msubsup&gt; &lt;/mrow&gt; &lt;/math&gt; ) optical properties in images of tissues with complex geometries.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Approach: &lt;/strong&gt;We used a multimode fiber-coupled 639-nm laser illumination to generate high-contrast speckle patterns on the object. These patterns were imaged through a modified commercial stereo laparoscope for optical property estimation via si-SFDI. Compared with the original si-SFDI work, which required &lt;math&gt;&lt;mrow&gt;&lt;mo&gt;≥&lt;/mo&gt; &lt;mn&gt;10&lt;/mn&gt;&lt;/mrow&gt; &lt;/math&gt; images of randomized speckle patterns for accurate optical property estimations, our approach approximates the DC response using a laser speckle reducer (LSR) and consequently requires only two images. In addition, we demonstrate 3D profilometry using active stereo from low-coherence RGB laser flood illumination. Sample topography was then used to correct for measured intensity variations caused by object height and surface angle differences with respect to a calibration phantom. The low-contrast RGB speckle pattern was blurred using an LSR to approximate incoherent white light illumination. We validated profile-corrected si-SFDI against conventional SFDI in phantoms with simple and complex geometries, as well as in a human finger &lt;i&gt;in vivo&lt;/i&gt; time-series constriction study.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Laparoscopic si-SFDI optical property measurements agreed with conventional SFDI measurements when measuring flat tissue phantoms, exhibiting an error of 6.4% for absorption and 5.8% for reduced scattering. Profile-correction improved the accuracy for measurements of phantoms with complex geometries, particularly for absorption, where it reduced the error by 23.7%. An &lt;i&gt;in vivo&lt;/i&gt; finger constriction study further validated laparoscopic si-SFDI, demonstrating an error of 8.2% for absorption and 5.8% for reduced scattering compared with conventional SFDI. Moreover, the observed trends in optical properties du","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 Suppl 1","pages":"S13710"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11759297/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143046963","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":"Effects of cold storage on double integrating sphere optical property measurements of porcine dermis and subcutaneous fat from 400 to 1100 nm.","authors":"Maria A T Hoffman, Mark A Keppler, Andrea L Smith, Anjelyka Fasci, Matthew E Macasadia, Amanda J Tijerina, Robert Lyle Hood, Michael P DeLisi, Joel N Bixler","doi":"10.1117/1.JBO.30.1.015001","DOIUrl":"10.1117/1.JBO.30.1.015001","url":null,"abstract":"<p><strong>Significance: </strong>Accurate values of skin optical properties are essential for developing reliable computational models and optimizing optical imaging systems. However, published values show a large variability due to a variety of factors, including differences in sample collection, preparation, experimental methodology, and analysis.</p><p><strong>Aim: </strong>We aim to explore the influence of storage conditions on the optical properties of the excised skin from 400 to 1100 nm.</p><p><strong>Approach: </strong>We utilize a double integrating sphere system and inverse adding-doubling approach to determine absorption, <math> <mrow><msub><mi>μ</mi> <mi>a</mi></msub> </mrow> </math> , and reduced scattering, <math> <mrow> <msubsup><mrow><mi>μ</mi></mrow> <mrow><mi>s</mi></mrow> <mrow><mo>'</mo></mrow> </msubsup> </mrow> </math> , coefficients of the porcine dermis and subcutaneous fat before and after refrigeration, freezing, or flash freezing.</p><p><strong>Results: </strong>Our findings indicate a small average change of <math><mrow><mo>-</mo> <mn>0.005</mn></mrow> </math> , <math><mrow><mo>-</mo> <mn>0.003</mn></mrow> </math> , and <math><mrow><mn>0.002</mn> <mtext>  </mtext> <msup><mrow><mi>mm</mi></mrow> <mrow><mo>-</mo> <mn>1</mn></mrow> </msup> </mrow> </math> in <math> <mrow><msub><mi>μ</mi> <mi>a</mi></msub> </mrow> </math> for the dermis and 0.001, <math><mrow><mo>-</mo> <mn>0.003</mn></mrow> </math> , and <math><mrow><mo>-</mo> <mn>0.008</mn> <mtext>  </mtext> <msup><mrow><mi>mm</mi></mrow> <mrow><mo>-</mo> <mn>1</mn></mrow> </msup> </mrow> </math> for the subcutaneous tissue after refrigeration, freezing, and flash freezing, respectively, with the most notable differences observed in the hemoglobin absorption region. The value of <math> <mrow><msubsup><mi>μ</mi> <mi>s</mi> <mo>'</mo></msubsup> </mrow> </math> shows a negligible average change of <math><mrow><mo>-</mo> <mn>0.05</mn></mrow> </math> , <math><mrow><mo>-</mo> <mn>0.001</mn></mrow> </math> , and <math><mrow><mo>-</mo> <mn>0.02</mn> <mo> </mo> <msup><mi>mm</mi> <mrow><mo>-</mo> <mn>1</mn></mrow> </msup> </mrow> </math> for the dermis, and 0.06, <math><mrow><mo>-</mo> <mn>0.1</mn></mrow> </math> , and <math><mrow><mn>0.03</mn> <mtext>  </mtext> <msup><mrow><mi>mm</mi></mrow> <mrow><mo>-</mo> <mn>1</mn></mrow> </msup> </mrow> </math> change for the subcutaneous tissue for refrigerated, frozen, and flash-frozen samples, respectively.</p><p><strong>Conclusions: </strong>The results provide additional context for the variability of published values of optical parameters and enable informed selection of sample storage conditions for future measurements. In addition, the results discussed here can be used to improve study planning, particularly with regard to maximizing the use of finite samples that have been collected.</p>","PeriodicalId":15264,"journal":{"name":"Journal of Biomedical Optics","volume":"30 1","pages":"015001"},"PeriodicalIF":3.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11751729/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143023528","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}