Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV最新文献

{"title":"Front Matter: Volume 11060","authors":"","doi":"10.1117/12.2540351","DOIUrl":"https://doi.org/10.1117/12.2540351","url":null,"abstract":"","PeriodicalId":308921,"journal":{"name":"Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127283841","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":"Substrate developments for exploring living cells in culture with quantitative phase imaging: towards label-free high-content screening (Conference Presentation)","authors":"P. Marquet, E. Bélanger, Bertrand de-Dorlodot, Émile Rioux-Pélerin, S. Lévesque","doi":"10.1117/12.2530347","DOIUrl":"https://doi.org/10.1117/12.2530347","url":null,"abstract":"Quantitative Phase Imaging (QPI) has recently emerged as a powerful new imaging modality to non-invasively visualize transparent specimens, including living cells in culture. Among different QPI techniques, Quantitative Phase Digital Holographic Microscopy (QP-DHM) is particularly well suited to explore, with a nanometric axial sensitivity, cell structure and dynamics. Concretely, accurate interferometric measurements of the phase retardation of a light wave when transmitted through living cells are performed. This phase retardation, namely the Quantitative Phase Signal (QPS) depends on both the thickness of the observed cells as well as the difference between its refractive index (RI) nc and that of the surrounding medium nm. This RI difference is generated by the presence of organic molecules, including proteins, DNA, organelles, nuclei present in cells. QPS provides thus information about both cell morphology and cell contents. \u0000According to this intracellular RI dependency, QPI has proven to be successful in performing cell counting, recognition and classification, the monitoring of cellular dry mass, cell membrane fluctuations analysis as well as the reconstruction, through tomographic approaches, of the intracellular 3D refractive index distribution. Furthermore, thanks to the development of different experimental procedures, additional relevant biophysical cell parameters were successfully calculated, including membrane mechanical properties, osmotic membrane water permeability, transmembrane water movements and the RI of transmembrane solute flux. However, all these cell parameters can be quantitatively and accurately measured provided that both the QPS exhibits a high stability and the RI value of the surrounding medium nm is accurately known. Any changes of nm will significantly affect the measurements of all these cellular parameters, comprising thus the major advantage of QPI, its quantitative aspects. This particularly the case, for the applications claiming a quantitative evaluation of the cellular dry mass as well as when compounds are directly added to the perfusion solutions for performing either screening or specific pharmacological experiments dedicated to decipher specific cellular processes.\u0000In this talk, we will present different substrates — coverslips and do-it-yourself 3D-printed flow chambers — that we have developed, which meet the challenge, when combined with QP-DHM of obtaining highly stable QPS as well of measuring in real time and with the accuracy of ±0.00004 the absolute values of refractive index of the surrounding medium in the vicinity of living cells. Specifically, such accuracy can be obtained thanks to the high QPS stability resulting from the QP-DHM capability to propagate the whole object wave (amplitude and phase) diffracted by the observed specimen during the numerical reconstruction of the digitally recorded holograms. Indeed, this 3D wavefront numerical reconstruction can efficiently compensate for ex","PeriodicalId":308921,"journal":{"name":"Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124600210","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 imaging using learning techniques (Conference Presentation)","authors":"D. Psaltis","doi":"10.1117/12.2524829","DOIUrl":"https://doi.org/10.1117/12.2524829","url":null,"abstract":"Learning to perform various tasks by training neural networks has been linked to optics for a long time. The remarkable progress that has been achieved in recent years with “deep learning” networks, has led to new many ideas for how to use learning techniques in the design and operation of optical systems and vice-versa. We will present results from this recent activity with particular emphasis of how deep neural networks can enhance the capabilities of optical microscopy.","PeriodicalId":308921,"journal":{"name":"Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121580395","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":"Boosting accessibility of diagnostics tools for 3D printing, consumer electronics, digital imaging and open source software conversion (Conference Presentation)","authors":"S. Selleri, A. Tonelli, F. Pasquali, A. Candiani, A. Cucinotta, Francesco Biasion, M. Barozzi","doi":"10.1117/12.2527704","DOIUrl":"https://doi.org/10.1117/12.2527704","url":null,"abstract":"","PeriodicalId":308921,"journal":{"name":"Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127402309","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":"Deep learning for analysis and synthesis of dense and multicolor localization microscopy (Conference Presentation)","authors":"E. Nehme, Eran Hershko, Lucien E. Weiss, T. Michaeli, Y. Shechtman","doi":"10.1117/12.2525372","DOIUrl":"https://doi.org/10.1117/12.2525372","url":null,"abstract":"","PeriodicalId":308921,"journal":{"name":"Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125558613","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":"Engineering light-responsive substrates for the dynamic display of patterns of adhesive signals to control cell functions in vitro (Conference Presentation)","authors":"P. Netti","doi":"10.1117/12.2528832","DOIUrl":"https://doi.org/10.1117/12.2528832","url":null,"abstract":"","PeriodicalId":308921,"journal":{"name":"Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122611884","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":"Quantifying myelination at the individual axon scale using color spatial light interference microscopy (cSLIM)\u0000 (Conference Presentation)","authors":"G. Popescu","doi":"10.1117/12.2531031","DOIUrl":"https://doi.org/10.1117/12.2531031","url":null,"abstract":"Deficient myelination in the internal capsule of the brain is associated with neurodevelopmental delays, particularly in high-risk infants such as those born small for gestational age (SGA). MRI technology has been effective at measuring brain growth and composition but lacks myelin specificity and is low resolution. There is an unmet need for developing of new quantitative approaches that are rapid and precise, which can complement MRI and provide insight into the pathology of deficient myelination and efficacy of nutritional interventions. To meet this challenge, we developed Color Spatial Light Interference Microscopy (cSLIM), a method that is cable of generating refractive index maps of stained specimens. Using paraffin embedded brain tissue sections, stained myelin was segmented from a brightfield image and, using a binary mask, those portions were quantitatively analyzed by cSLIM. Due to cSLIM’s nanoscale sensitivity to optical pathlengths and independence with respect to the stain intensity, we quantified subtle variations in myelin density at the single axon scale.","PeriodicalId":308921,"journal":{"name":"Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128042181","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":"Fluorescence and scattering, a tug of war towards multimessenger optical microscopy (Conference Presentation)","authors":"A. Diaspro","doi":"10.1117/12.2527810","DOIUrl":"https://doi.org/10.1117/12.2527810","url":null,"abstract":"","PeriodicalId":308921,"journal":{"name":"Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133779486","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":"Label-free biomarker information by high-throughput holographic microscopy to support detection of cancer and neglected tropical diseases (Conference Presentation)","authors":"Matthias Ugele, C. Klenk, D. Heim, S. Röhrl, Frea Mehta, Nermina Vejzagic, K. Peschke, K. Diepold, C. Costa, M. Reichert, M. Meissner, K. Götze, O. Hayden","doi":"10.1117/12.2525666","DOIUrl":"https://doi.org/10.1117/12.2525666","url":null,"abstract":"Manual blood smear analysis remains the gold standard to diagnose hematological disorders and infections of blood parasites. However, the analysis and interpretation of peripheral blood smears requires expert users, is time consuming, depends on inter-observer variation, and is not compatible with a high-throughput workflow for clinical routine diagnostics (Dunning & Safo, Biotech. Histochem. 2011, 86, 69–75; Pierre, Clin. Lab. Med., 2002, 22, 279–297). Instead, automated hematology analyzers only flag atypical results which provides no clear classification of diseases and require extensive sample preparation. Label-free image analysis of untouched blood cells would reduce pre-analytical efforts and potentially allows characterization of samples with higher information content compared to both smear analysis and conventional automated flow cytometry, as the blood cell morphology is preserved. Furthermore, preclinical research work is in need for non-invasive analysis of e.g. cancer cells or infected cells to support the discovery of new drugs.\u0000We suggest to apply high-throughput and label-free workflows based on digital holographic microscopy for standardizable image analysis relevant for pre- and clinical diagnosis. In the case of parasitic infections, the label-free detection and analysis of malaria parasites has been addressed by various studies (Anand et al., IEEE Photonics J., 2012, 4, 1456-1464; Seo et al., Appl. Phys. Lett., 2014, 104, 1-4; Park et al, PloS One, 2016, 11, 1-19; Ugele et al., Lab Chip, 2018, 18, 1704-1712). The detection of neglected tropical diseases affecting livestock and humans, such as Chagas disease and Leishmaniosis, has not been addressed so far by the community. \u0000Our platform technology is based on a customized differential holographic microscopy setup, which has been previously described (Ugele et al., Lab Chip, 2018, 18, 1704-1712; Ugele et al., Adv. Sci., 2018, 5, 1800761). Reference data sets of clinical leukemic samples, cancer cell cultures in solution, and in vitro cultures of various parasites were collected to understand the translational potential for this methodology. Hydrodynamic and viscoelastic focusing in a microfluidics channel was used for high-throughput imaging and enrichment/depletion of cell populations without the need for any autofocusing procedures. Morphological parameters describing the inner consistency were calculated from segmented phase images of the cells/parasites and combined with machine learning algorithms for improved analysis by the discovery of label-free biomarkers. In this way, improved subtyping of acute and chronic leukemias, myeloproliferative neoplasms, and further hematological disorders was achieved. Second, a detection of Trypanosoma and Leishmania parasites could be shown and in vitro cultures of Schistosomia mansoni were classified according to different viability stages. Third, the capability of anti-cancer drug candidate screening was demonstrated by monitoring the","PeriodicalId":308921,"journal":{"name":"Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121199421","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":"Design and implementation of a compact high-throughput echelle spectrometer using off-the-shelf off-axis parabolic mirrors for analysis of biological samples by LIBS (Conference Presentation)","authors":"Hamed Abbasi, G. Rauter, R. Guzman, P. Cattin, A. Zam","doi":"10.1117/12.2525987","DOIUrl":"https://doi.org/10.1117/12.2525987","url":null,"abstract":"","PeriodicalId":308921,"journal":{"name":"Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123935161","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}