Biophotonics discovery最新文献

{"title":"Optical imaging provides flow-cytometry-like single-cell level analysis of HIF-1<i>α</i>-mediated metabolic changes in radioresistant head and neck squamous carcinoma cells.","authors":"Jing Yan, Carlos Frederico Lima Goncalves, Pranto Soumik Saha, Cristina M Furdui, Caigang Zhu","doi":"10.1117/1.bios.2.1.012702","DOIUrl":"10.1117/1.bios.2.1.012702","url":null,"abstract":"<p><strong>Significance: </strong>Radioresistance remains a significant problem for head and neck squamous cell carcinoma (HNSCC) patients. To mitigate this, the cellular and molecular pathways used by radioresistant HNSCC that drive recurrence must be studied.</p><p><strong>Aim: </strong>We aim to demonstrate optical imaging strategies to provide flow cytometry-like single-cell level analysis of hypoxia-inducible factor 1-alpha (HIF-1α)-mediated metabolic changes in the radioresistant and radiosensitive HNSCC cells but in a more efficient, cost-effective, and non-destructive manner. Through both optical imaging and flow cytometry studies, we will reveal the role of radiation-induced HIF-1α overexpression and the following metabolic changes in the radioresistance development for HNSCC.</p><p><strong>Approach: </strong>We optimized the use of two metabolic probes: 2-[N-(7-nitrobenz-2-oxa-1, 3-diazol-4-yl) amino]-2-deoxy-D-glucose (2-NBDG) (to report glucose uptake) and Tetramethylrhodamine ethyl ester (TMRE) (to report mitochondrial membrane potential) with both a standard fluorescence microscope and a flow cytometry device, to report the changes in metabolism between radioresistant (rSCC-61) and radiosensitive (SCC-61) HNSCC cell lines under radiation stresses with or without HIF-1<i>α</i> inhibition.</p><p><strong>Results: </strong>We found that the matched HNSCC cell lines had different baseline metabolic phenotypes, and their metabolism responded differently to radiation stress along with significantly enhanced HIF-1<i>α</i> expressions in the rSCC-61 cells. HIF-1<i>α</i> inhibition during the radiation treatment modulates the metabolic changes and radio-sensitizes the rSCC-61 cells. Through these studies, we demonstrated that a standard fluorescence microscope along with proper image processing methods can provide flow cytometry-like single-cell level analysis of HIF-1<i>α</i>-mediated metabolic changes in the radioresistant and radiosensitive HNSCC cells.</p><p><strong>Conclusions: </strong>Our reported optical imaging strategies may enable one to study the role of metabolism reprogramming in cancer therapeutic resistance development at the single-cell level in a more efficient, cost-effective, and non-destructive manner. Our understanding of radiation resistance mechanisms using our imaging methods will offer opportunities to design targeted radiotherapy for improved treatment outcomes for HNSCC patients.</p>","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11801402/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143367226","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":"Optical redox imaging to screen synthetic hydrogels for stem cell-derived cardiomyocyte differentiation and maturation.","authors":"Danielle E Desa, Margot J Amitrano, William L Murphy, Melissa C Skala","doi":"10.1117/1.bios.1.1.015002","DOIUrl":"10.1117/1.bios.1.1.015002","url":null,"abstract":"<p><strong>Significance: </strong>Heart disease is the leading cause of death in the United States, yet research is limited by the inability to culture primary cardiac cells. Cardiomyocytes (CMs) derived from human induced pluripotent stem cells (iPSCs) are a promising solution for drug screening and disease modeling.</p><p><strong>Aim: </strong>Induced pluripotent stem cell-derived CM (iPSC-CM) differentiation and maturation studies typically use heterogeneous substrates for growth and destructive verification methods. Reproducible, tunable substrates and touch-free monitoring are needed to identify ideal conditions to produce homogenous, functional CMs.</p><p><strong>Approach: </strong>We generated synthetic polyethylene glycol-based hydrogels for iPSC-CM differentiation and maturation. Peptide concentrations, combinations, and gel stiffness were tuned independently. Label-free optical redox imaging (ORI) was performed on a widefield microscope in a 96-well screen of gel formulations. We performed live-cell imaging throughout differentiation and early to late maturation to identify key metabolic shifts.</p><p><strong>Results: </strong>Label-free ORI confirmed the expected metabolic shifts toward oxidative phosphorylation throughout the differentiation and maturation processes of iPSC-CMs on synthetic hydrogels. Furthermore, ORI distinguished high and low differentiation efficiency cell batches in the cardiac progenitor stage.</p><p><strong>Conclusions: </strong>We established a workflow for medium throughput screening of synthetic hydrogel conditions with the ability to perform repeated live-cell measurements and confirm expected metabolic shifts. These methods have implications for reproducible iPSC-CM generation in biomanufacturing.</p>","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11258857/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141736340","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":"Quantifying <i>in vivo</i> collagen reorganization during immunotherapy in murine melanoma with second harmonic generation imaging.","authors":"Alexa R Heaton, Nathaniel J Burkard, Paul M Sondel, Melissa C Skala","doi":"10.1117/1.bios.1.1.015004","DOIUrl":"10.1117/1.bios.1.1.015004","url":null,"abstract":"<p><strong>Significance: </strong>Increased collagen linearization and deposition during tumorigenesis can impede immune cell infiltration and lead to tumor metastasis. Although melanoma is well studied in immunotherapy research, studies that quantify collagen changes during melanoma progression and treatment are lacking.</p><p><strong>Aim: </strong>We aim to image <i>in vivo</i> collagen in preclinical melanoma models during immunotherapy and quantify the collagen phenotype in treated and control mice.</p><p><strong>Approach: </strong>Second-harmonic generation imaging of collagen was performed in mouse melanoma tumors <i>in vivo</i> over a treatment time course. Animals were treated with a curative radiation and immunotherapy combination. Collagen morphology was quantified over time at an image and single-fiber level using CurveAlign and CT-FIRE software.</p><p><strong>Results: </strong>In immunotherapy-treated mice, collagen was reorganized toward a healthy phenotype, including shorter, wider, curlier collagen fibers, with modestly higher collagen density. Temporally, collagen fiber straightness and length changed late in treatment (days 9 and 12), while width and density changed early (day 6) compared with control mice. Single-fiber collagen features calculated in CT-FIRE were the most sensitive to the changes among treatment groups compared with bulk collagen features.</p><p><strong>Conclusions: </strong>Quantitative second-harmonic generation imaging can provide insight into collagen dynamics <i>in vivo</i> during immunotherapy, with key implications in improving immunotherapy response in melanoma and other cancers.</p>","PeriodicalId":519981,"journal":{"name":"Biophotonics discovery","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11247620/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141622131","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}