Biophotonics discovery最新文献

{"title":"Effects of skin tone and adipose thickness on frequency domain near-infrared spectroscopy and diffuse correlation spectroscopy.","authors":"Carlos A Gómez, Darren Roblyer","doi":"10.1117/1.BIOS.2.1.012503","DOIUrl":"10.1117/1.BIOS.2.1.012503","url":null,"abstract":"<p><strong>Significance: </strong>Frequency domain near-infrared spectroscopy (FD-NIRS) and diffuse correlation spectroscopy (DCS) are used for the label-free measurement of chromophore concentrations, blood flow, and metabolism for tissues such as muscle or tumors. These tissues are embedded under the skin and adipose, the properties of which can vary between subjects, thus affecting the extraction of the target tissue's optical properties.</p><p><strong>Aim: </strong>We aim to characterize the effects of the skin tone and adipose thickness on FD-NIRS and DCS measurements and develop subject-specific multi-layer inverse models that account for these effects.</p><p><strong>Approach: </strong>A three-layer look-up-table-based inverse model that accounted for the skin tone and adipose thickness was generated using Monte Carlo simulations for each subject. Stackable tissue-mimicking silicone phantoms were fabricated and used to validate the models. A custom combined FD-NIRS and DCS system was then used to measure phantoms and the sternocleidomastoid muscle of healthy subjects. Subjects performed a breathing exercise that consisted of a baseline, load, and recovery. The skin tone of subjects was determined using a colorimeter. The adipose thickness was determined using ultrasound. The subject-specific three-layer model results were compared against a simpler single-layer model.</p><p><strong>Results: </strong>The skin tone and adipose thickness substantially affected the extraction of multiple FD-NIRS and DCS parameters. Oxygenated hemoglobin, total hemoglobin, tissue saturation ( <math> <mrow> <msub><mrow><mi>S</mi></mrow> <mrow><mi>t</mi></mrow> </msub> <msub><mrow><mi>O</mi></mrow> <mrow><mn>2</mn></mrow> </msub> </mrow> </math> ), and blood flow index ( <math> <mrow> <msub><mrow><mi>BF</mi></mrow> <mrow><mi>i</mi></mrow> </msub> </mrow> </math> ) values were all underestimated if the skin tone and adipose thickness were not accounted for (all <math><mrow><mi>p</mi> <mtext>-</mtext> <mtext>values</mtext> <mo><</mo> <mn>0.01</mn></mrow> </math> ). For example, <math> <mrow> <msub><mrow><mi>S</mi></mrow> <mrow><mi>t</mi></mrow> </msub> <msub><mrow><mi>O</mi></mrow> <mrow><mn>2</mn></mrow> </msub> </mrow> </math> was underestimated by <math><mrow><mn>18</mn> <mo>±</mo> <mn>9</mn></mrow> </math> %pt ( <math><mrow><mi>p</mi> <mo><</mo> <mn>0.0001</mn></mrow> </math> ) and <math> <mrow> <msub><mrow><mi>BF</mi></mrow> <mrow><mi>i</mi></mrow> </msub> </mrow> </math> was underestimated by <math><mrow><mn>7</mn> <mo>±</mo> <mn>8</mn> <mo>×</mo> <msup><mrow><mn>10</mn></mrow> <mrow><mo>-</mo> <mn>6</mn></mrow> </msup> <mtext>  </mtext> <msup><mrow><mi>mm</mi></mrow> <mrow><mn>2</mn></mrow> </msup> <mo>/</mo> <mi>s</mi></mrow> </math> ( <math><mrow><mi>p</mi> <mo><</mo> <mn>0.01</mn></mrow> </math> ). Hemodynamics during a respiratory exercise were also underestimated in the case of oxygenated hemoglobin, total hemoglobin, <math> <mrow> <msub><mrow><mi>BF</mi","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":"2 1","pages":"012503"},"PeriodicalIF":0.0,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13098740/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147794733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optical coherence tomography to identify upper airway obstruction sites in an apneic patient.","authors":"Joseph C Jing, Khodayar Goshtasbi, Yong Wang, Jason J Chen, Erica Su, Ellen M Hong, Katelyn D Dilley, Yan Li, Frances B Lazarow, Anthony Chin Loy, David Shamouelian, Said E Elghobashi, Zhongping Chen, Brian J F Wong","doi":"10.1117/1.BIOS.1.3.035002","DOIUrl":"10.1117/1.BIOS.1.3.035002","url":null,"abstract":"<p><strong>Significance: </strong>There are important limitations to the current diagnostic tools for obstructive sleep apnea (OSA).</p><p><strong>Aim: </strong>The limitations warrant the development of a more accurate, minimally invasive, and objective tool to better characterize upper airway airflow obstruction during sleep.</p><p><strong>Approach: </strong>Swept-source optical coherence tomography (OCT) as a range-finding technique was utilized for upper airway volumetric reconstruction. An acousto-optic modulator was integrated into the OCT system for extending the imaging range to be suitable for the typical diameter of the upper airway. High spatial resolution images were acquired at <math><mrow><mn>25</mn> <mtext>  </mtext> <mtext>frames</mtext> <mo>/</mo> <mi>s</mi></mrow> </math> and translated at <math><mrow><mn>12.5</mn> <mtext>  </mtext> <mi>mm</mi> <mo>/</mo> <mi>s</mi></mrow> </math> before manual segmentation for three-dimensional (3D) reconstruction and numerical analysis. The Lattice-Boltzmann method as a computational fluid dynamics (CFD) technique was utilized to pinpoint the precise locations of turbulent airflow in the airspace.</p><p><strong>Results: </strong>Upper airway OCT imaging of a 28-year-old individual with sleep disorder breathing was obtained during awake and sleep periods. The volumetric structure and 3D reconstruction of the upper airway through a micrometer-resolution optical imaging approach were successfully demonstrated. Cross-sectional volumetric changes from awake to sleep periods were calculated, and the greatest airway obstruction was observed at the level of the oropharynx. In addition to CFD analysis, measuring airflow pressure differences along the upper airway aided in accurately localizing the dominant sites of obstruction during sleep.</p><p><strong>Conclusion: </strong>The combination of the proposed OCT imaging system with 3D remodeling and CFD analysis led to accurate reconstruction of the upper airway and identification of obstruction sites during sleep. This technology can improve surgical decision-making and outcomes in OSA.</p>","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":"1 3","pages":"035002"},"PeriodicalIF":0.0,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13107249/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147794794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility of non-imaging, random-sampling second harmonic generation measurements to distinguish colon cancer.","authors":"Jenna Montague, Lucas Young, Hasina Shir, Travis Sawyer, Joshua Routh, Valentine Nfonsam, Jennifer K Barton","doi":"10.1117/1.BIOS.1.3.035001","DOIUrl":"10.1117/1.BIOS.1.3.035001","url":null,"abstract":"<p><strong>Significance: </strong>In the United States, colorectal cancer is the third leading cause of cancer death. Colonoscopy with polyp removal may suffer from incomplete resection. Collagen is altered in dysplastic tissue and can be studied with second harmonic generation (SHG) imaging. SHG imaging endoscopes require miniaturized scanning components, which greatly adds to endoscope complexity.</p><p><strong>Aim: </strong>We investigate whether non-imaging, randomly sampled SHG line or point intensity measurements are sufficient to distinguish normal tissue from tumor and tumor-adjacent tissue.</p><p><strong>Approach: </strong>Unstained tumor, normal, and tumor-adjacent thin sections from 10 colorectal cancer subjects were imaged using a multiphoton microscope with constant power. SHG signal from collagen was isolated by grayscale thresholding, and the grayscale mean of the image was calculated. Supra-threshold pixels and lines of pixels in the image were randomly selected to simulate point sampling and line scanning.</p><p><strong>Results: </strong>The mean SHG signal from normal samples was significantly greater than adjacent samples ( <math><mrow><mi>p</mi> <mo><</mo> <mn>0.05</mn></mrow> </math> ) and tumor samples ( <math><mrow><mi>p</mi> <mo><</mo> <mn>0.01</mn></mrow> </math> ). For both sampling types, the <math><mrow><mi>p</mi></mrow> </math> -value becomes reliable after randomly sampling only 1000 times.</p><p><strong>Conclusions: </strong>Reliable cancer detection information may be obtained through non-imaging SHG intensity measurements. A simple endoscope with this capability could help identify suspicious masses or optimum surgical margins.</p>","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":"1 3","pages":"035001"},"PeriodicalIF":0.0,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13098749/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147794782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of skin tone on target size detectability in photoacoustic breast imaging.","authors":"Rhea D Rasquinha, Mardava R Gubbi, Muyinatu A Lediju Bell","doi":"10.1117/1.bios.2.1.012502","DOIUrl":"10.1117/1.bios.2.1.012502","url":null,"abstract":"<p><strong>Significance: </strong>Photoacoustic imaging has the potential to improve non-invasive breast cancer diagnosis. However, illumination through the skin introduces a skin tone bias, as greater melanin content increases optical absorption and can create acoustic clutter, reducing the visibility of various target sizes.</p><p><strong>Aim: </strong>We investigate the impact of skin tone bias as a function of target sizes in three photoacoustic image reconstruction methods: fast Fourier transform (FFT)-based reconstruction, delay-and-sum (DAS) beamforming, and short-lag spatial coherence (SLSC) beamforming.</p><p><strong>Methods: </strong>The three imaging methods were applied to channel data from multidomain simulations with 757, 800, and 1064 nm wavelengths, 11 target sizes (ranging 0.5 to 3 mm), 18 skin tones [ranging individual typology angles (ITAs) of -54 deg to 60 deg], and a previously validated realistic 3D breast model. The signal-to-noise ratio (SNR) and generalized contrast-to-noise ratio (gCNR) were measured to assess visibility.</p><p><strong>Results: </strong>With 757 and 800 nm wavelengths, targets underlying dark skin tones (ITA range: -54 deg to -33 deg) with sizes ≤3 mm were poorly visible with ≤2.38 to 4.21 mean SNR and ≤0.46 to 0.74 mean gCNR, with smaller targets generally being more visible with lighter skin tones. A 1064-nm transmit wavelength improved visualization with DAS and SLSC beamforming, relative to both FFT reconstruction with a 1064 nm wavelength and DAS or SLSC beamforming with 757 and 800 nm wavelengths. When combined with SLSC beamforming, the 1064-nm wavelength offered the greatest improvements, enabling visualization of simulated target sizes ranging from 0.5 to 3 mm underlying very light (ITA = 60 deg) to dark (ITA = -54 deg) skin tones, with mean SNR ≤10.01 and mean gCNR ≤1. Visualization of simulated vessel structures derived from <i>in vivo</i> photoacoustic images was consistent with simulation-based target size expectations.</p><p><strong>Conclusions: </strong>Results are promising for advancing next-generation photoacoustic imaging systems for breast cancer diagnosis across the range of skin tones represented in healthcare systems throughout the world.</p>","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443340/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced peripheral tissue oxygenation and hemoglobin concentration after a high-fat meal measured with spatial frequency domain imaging.","authors":"Anahita Pilvar, Jorge Plutzky, Darren Roblyer","doi":"10.1117/1.BIOS.1.2.025004","DOIUrl":"10.1117/1.BIOS.1.2.025004","url":null,"abstract":"<p><strong>Significance: </strong>The magnitude and temporal dynamics of changes in blood nutrient and lipid levels following a high-fat meal have been previously shown to be an important indicator of current and future cardiovascular health and disease. Measurement of circulating nutrients and lipids currently requires invasive blood draws. The development of a non-invasive method for continuous monitoring of postprandial (i.e., after-meal) changes may assist in enhancing cardiovascular health management, dietary monitoring, and identification of disease-promoting factors. Spatial frequency domain imaging (SFDI) is a non-contact, label-free optical technique that can quantify tissue optical properties and hemodynamics in vivo. We hypothesized that SFDI may track the postprandial state in peripheral tissue.</p><p><strong>Aim: </strong>We aim to investigate the relationship between postprandial factors, namely triglycerides and glucose, and the optical properties and oxygenation of peripheral tissue measured with SFDI.</p><p><strong>Approach: </strong>Fifteen healthy volunteers consumed both a low- (2 g) and high- (60 g) fat meal on different days. A custom SFDI device was used to measure the dorsal hand surface of volunteers before the meal and each hour for 5 h after the meal. Measurements were taken at 730, 880, and 1100 nm. Longitudinal postprandial changes in tissue optical properties were correlated with changes in blood triglycerides and glucose levels as well as blood pressure, heart rate, and room temperature. A machine-learning model was trained to estimate triglyceride levels from SFDI metrics.</p><p><strong>Results: </strong>Several SFDI metrics increased and peaked 3 to 4 h following the high-fat meal, including tissue oxygen saturation ( <math> <mrow><msub><mi>StO</mi> <mn>2</mn></msub> </mrow> </math> ) and oxyhemoglobin ( <math> <mrow><msub><mi>HbO</mi> <mn>2</mn></msub> </mrow> </math> ) concentration, and were substantially different from the low-fat cohort ( <math><mrow><mi>p</mi> <mo><</mo> <mn>0.05</mn></mrow> </math> at 3 h). The increases were large, <math><mrow><mo>></mo> <mn>5</mn> <mo>%</mo></mrow> </math> for <math> <mrow><msub><mi>StO</mi> <mn>2</mn></msub> </mrow> </math> and <math><mrow><mo>></mo> <mn>10</mn> <mo>%</mo></mrow> </math> for <math> <mrow><msub><mi>HbO</mi> <mn>2</mn></msub> </mrow> </math> concentration on average. The temporal changes in these metrics broadly tracked triglyceride levels, which peaked at 3 h post-meal. The predictive model accurately estimated blood triglyceride levels (RMSE <math><mrow><mn>40</mn> <mtext>  </mtext> <mi>mg</mi> <mo>/</mo> <mi>dL</mi></mrow> </math> ).</p><p><strong>Conclusion: </strong>These findings suggest that SFDI could serve as a powerful non-invasive tool to monitor postprandial hemodynamics. In the future, SFDI measurements may help enhance cardiovascular disease prediction and management.</p>","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":"1 2","pages":"025004"},"PeriodicalIF":0.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13098637/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147794838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictive model for laser-induced tissue necrosis with immunohistochemistry validation.","authors":"J Junior Arroyo, Arunima Sharma, Jiaxin Zhang, Muyinatu A Lediju Bell","doi":"10.1117/1.BIOS.1.2.025003","DOIUrl":"10.1117/1.BIOS.1.2.025003","url":null,"abstract":"<p><strong>Significance: </strong>Photoacoustic imaging holds promise to provide critical guidance in surgical interventions, but its widespread use is challenged by the absence of applicable safety guidelines across diverse target tissues. The biosafety of this technology is primarily associated with the risk of necrosis generation, which is an irreversible thermal effect that can result from prolonged, high-energy laser applications.</p><p><strong>Aim: </strong>We introduce the first known numerical simulation approaches to assess laser-induced necrosis in liver tissue and present a novel microscopy analysis framework to validate performance.</p><p><strong>Approach: </strong>Our simulation methods integrate Monte Carlo simulations of laser-tissue interaction with the COMSOL interface, model local tissue heating, and predict associated tissue damage to quantify the percentage of tissue necrosis resulting from laser application. Our initial predictions are based on 30 and 73 mJ mean laser energies, laser irradiation times of 1, 10, and 20 min, and a 750 nm laser wavelength. Empirical validations with <i>in vivo</i> porcine liver exposed to a mean laser energy of 73 mJ and 750 nm laser wavelength were performed based on H&E and cleaved Caspase-3 immunohistochemistry (IHC) results. Simulation results from the lower 30 mJ laser energy were additionally cross-referenced with previous qualitative H&E-based reports.</p><p><strong>Results: </strong>Negligible tissue damage was observed with necrosis predictions <math><mrow><mo>≤</mo> <mn>15.05</mn> <mo>%</mo></mrow> </math> , damage thresholds were determined to be within the 15.05% to 66.23% necrosis prediction range, and necrosis predictions deviated from quantitative IHC results by 0.01% to 8.1%.</p><p><strong>Conclusions: </strong>We successfully demonstrated an <i>in silico</i> alternative to the otherwise time-consuming and expensive empirical assessments that would be required to create tissue-specific laser safety guidelines. The presented methods have the potential to be translated to multiple tissues and additional laser properties.</p>","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":"1 2","pages":"025003"},"PeriodicalIF":0.0,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13098639/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147794779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Review of Cherenkov imaging technology advances in radiotherapy: single-photon-level imaging in high ambient light and radiation backgrounds","authors":"Aubrey Parks, Jeremy Hallett, Alexander P Niver, Rongxiao Zhang, P. Brůža, Brian W Pogue","doi":"10.1117/1.bios.1.2.020901","DOIUrl":"https://doi.org/10.1117/1.bios.1.2.020901","url":null,"abstract":". ABSTRACT. Significance: Single-photon-level imaging has been utilized for decades in closed dark environments; however, the utility for macroscopic imaging is more limited because it involves time-gating, filtering, and processing to view signals of interest. In radiation therapy delivery, a low-level signal called Cherenkov emission occurs from patients ’ bodies, which is imaged with single-photon level sensitivity, mapping radiation dose deposition in tissue. Several key technological advances have been leveraged to make this extremely low-light signal overcome high background and noise in clinical settings. Aim: Our review summarizes specific technological advances that have led to a single-photon imaging in high radiation noise and high optical background environments possible. Our work discusses applications and future opportunities. Approach: Physical fundamentals of Cherenkov light, ambient room light, optical filtering, time-gating, and image processing are reviewed with key technological camera choices. This is followed by discussion of image quality, noise, and post-processing, with current and future applications. Results: Invention and optimization of time-gating techniques and cameras with a single-photon capability were required to achieve real-time Cherenkov imaging. Requirements of video frame rate ( ≈ 10 to 30 fps), fast triggering ( ≈ μ s),","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":" 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141825779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In vivo spectroscopy to concurrently characterize five metabolic and vascular endpoints relevant to aggressive breast cancer","authors":"Victoria W. D’Agostino, Riley J. Deutsch, Michelle Kwan, Enakshi D Sunassee, Megan C. Madonna, Gregory M Palmer, B. Crouch, N. Ramanujam","doi":"10.1117/1.bios.1.2.025002","DOIUrl":"https://doi.org/10.1117/1.bios.1.2.025002","url":null,"abstract":"Discovery We describe a novel method leveraging quantitative fluorescence spectroscopy to characterize oxidative phosphorylation, glucose uptake, fatty acid uptake, total hemoglobin, and oxygen saturation concurrently in healthy and tumor-bearing in vivo murine tissue. ABSTRACT. Significance: Emerging evidence that aggressive breast tumors rely on various substrates including lipids and glucose to proliferate and recur necessitates the development of tools to track multiple metabolic and vascular endpoints concurrently in vivo . Aim: Our quantitative spectroscopy technique provides time-matched measurements of the three major axes of breast cancer metabolism as well as tissue vascular properties in vivo . Approach: We leverage exogenous fluorophores to quantify oxidative phosphorylation, glucose uptake, and fatty acid oxidation, and endogenous contrast for measurements of hemoglobin and oxygen saturation. An inverse Monte Carlo algo-rithm corrects for aberrations resulting from tissue optical properties, allowing the unmixing of spectrally overlapping fluorophores. Results: Implementation of our inverse Monte Carlo resulted in a linear relationship of fluorophore intensity with concentration ( R 2 < 0 . 99 ) in tissue-mimicking phantom validation studies. We next sequenced fluorophore delivery to faithfully recapitulate independent measurement of each fluorophore. The ratio of Bodipy FL C16/2-NBDG administered to a single animal is not different from that in paired animals receiving individual fluorophores ( p ¼ n : s : ). Clustering of five variables was effective in distinguishing tumor from mammary tissue (sensitivity = 0.75, specificity = 0.83, and accuracy = 0.79). Conclusions: Our system can measure major axes of metabolism and associated vascular endpoints, allowing for future study of tumor metabolic flexibility.","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computer-assisted discrimination of cancerous and pre-cancerous from benign oral lesions based on multispectral autofluorescence imaging endoscopy","authors":"Elvis de Jesus Duran Sierra, Shuna Cheng, Rodrigo Cuenca, Beena Ahmed, Jim Ji, Vladislav V. Yakovlev, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Carlos Busso, Javier A. Jo","doi":"10.1117/1.bios.1.2.025001","DOIUrl":"https://doi.org/10.1117/1.bios.1.2.025001","url":null,"abstract":"","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":"114 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141683594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Welcome to Biophotonics Discovery.","authors":"Darren Roblyer","doi":"10.1117/1.BIOS.1.1.010101","DOIUrl":"10.1117/1.BIOS.1.1.010101","url":null,"abstract":"<p><p>The editorial announces the launch of Biophotonics Discovery, providing a window into the first issue and a plans for the year ahead.</p>","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":"1 1","pages":"010101"},"PeriodicalIF":0.0,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13098490/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147794725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}