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1. Global patterns and drivers of ecosystem functioning in rivers and riparian zones

Author

Tiegs, SD, Costello, DM, Isken, MW, Woodward, G, McIntyre, PB, Gessner, MO, Chauvet, E, Griffiths, NA, Flecker, AS, Acuna, V, Albarino, R, Allen, DC, Alonso, C, Andino, P, Arango, C, Aroviita, J, Barbosa, MVM, Barmuta, LA, Baxter, CV, Bell, TDC, Bellinger, B, Boyero, L, Brown, LE, Bruder, A, Bruesewitz, DA, Burdon, FJ, Callisto, M, Canhoto, C, Capps, KA, Castillo, MM, Clapcott, J, Colas, F, Colon-Gaud, C, Cornut, J, Crespo-Perez, V, Cross, WF, Culp, JM, Danger, M, Dangles, O, de Eyto, E, Derry, AM, Diaz Villanueva, V, Douglas, MM, Elosegi, A, Encalada, AC, Entrekin, S, Espinosa, R, Ethaiya, D, Ferreira, V, Ferriol, C, Flanagan, KM, Fleituch, T, Shah, JJF, Frainer, A, Friberg, N, Frost, PC, Garcia, EA, Lago, LG, Garcia Soto, PE, Ghate, S, Giling, DP, Gilmer, A, Goncalves, JF, Gonzales, RK, Graca, MAS, Grace, M, Grossart, H-P, Guerold, F, Gulis, V, Hepp, LU, Higgins, S, Hishi, T, Huddart, J, Hudson, J, Imberger, S, Iniguez-Armijos, C, Iwata, T, Janetski, DJ, Jennings, E, Kirkwood, AE, Koning, AA, Kosten, S, Kuehn, KA, Laudon, H, Leavitt, PR, Lemes da Silva, AL, Leroux, SJ, Leroy, CJ, Lisi, PJ, MacKenzie, R, Marcarelli, AM, Masese, FO, Mckie, BG, Oliveira Medeiros, A, Meissner, K, Milisa, M, Mishra, S, Miyake, Y, Moerke, A, Mombrikotb, S, Mooney, R, Moulton, T, Muotka, T, Negishi, JN, Neres-Lima, V, Nieminen, ML, Nimptsch, J, Ondruch, J, Paavola, R, Pardo, I, Patrick, CJ, Peeters, ETHM, Pozo, J, Pringle, C, Prussian, A, Quenta, E, Quesada, A, Reid, B, Richardson, JS, Rigosi, A, Rincon, J, Risnoveanu, G, Robinson, CT, Rodriguez-Gallego, L, Royer, TV, Rusak, JA, Santamans, AC, Selmeczy, GB, Simiyu, G, Skuja, A, Smykla, J, Sridhar, KR, Sponseller, R, Stoler, A, Swan, CM, Szlag, D, Teixeira-de Mello, F, Tonkin, JD, Uusheimo, S, Veach, AM, Vilbaste, S, Vought, LBM, Wang, C-P, Webster, JR, Wilson, PB, Woelfl, S, Xenopoulos, MA, Yates, AG, Yoshimura, C, Yule, CM, Zhang, YX, Zwart, JA, Tiegs, SD, Costello, DM, Isken, MW, Woodward, G, McIntyre, PB, Gessner, MO, Chauvet, E, Griffiths, NA, Flecker, AS, Acuna, V, Albarino, R, Allen, DC, Alonso, C, Andino, P, Arango, C, Aroviita, J, Barbosa, MVM, Barmuta, LA, Baxter, CV, Bell, TDC, Bellinger, B, Boyero, L, Brown, LE, Bruder, A, Bruesewitz, DA, Burdon, FJ, Callisto, M, Canhoto, C, Capps, KA, Castillo, MM, Clapcott, J, Colas, F, Colon-Gaud, C, Cornut, J, Crespo-Perez, V, Cross, WF, Culp, JM, Danger, M, Dangles, O, de Eyto, E, Derry, AM, Diaz Villanueva, V, Douglas, MM, Elosegi, A, Encalada, AC, Entrekin, S, Espinosa, R, Ethaiya, D, Ferreira, V, Ferriol, C, Flanagan, KM, Fleituch, T, Shah, JJF, Frainer, A, Friberg, N, Frost, PC, Garcia, EA, Lago, LG, Garcia Soto, PE, Ghate, S, Giling, DP, Gilmer, A, Goncalves, JF, Gonzales, RK, Graca, MAS, Grace, M, Grossart, H-P, Guerold, F, Gulis, V, Hepp, LU, Higgins, S, Hishi, T, Huddart, J, Hudson, J, Imberger, S, Iniguez-Armijos, C, Iwata, T, Janetski, DJ, Jennings, E, Kirkwood, AE, Koning, AA, Kosten, S, Kuehn, KA, Laudon, H, Leavitt, PR, Lemes da Silva, AL, Leroux, SJ, Leroy, CJ, Lisi, PJ, MacKenzie, R, Marcarelli, AM, Masese, FO, Mckie, BG, Oliveira Medeiros, A, Meissner, K, Milisa, M, Mishra, S, Miyake, Y, Moerke, A, Mombrikotb, S, Mooney, R, Moulton, T, Muotka, T, Negishi, JN, Neres-Lima, V, Nieminen, ML, Nimptsch, J, Ondruch, J, Paavola, R, Pardo, I, Patrick, CJ, Peeters, ETHM, Pozo, J, Pringle, C, Prussian, A, Quenta, E, Quesada, A, Reid, B, Richardson, JS, Rigosi, A, Rincon, J, Risnoveanu, G, Robinson, CT, Rodriguez-Gallego, L, Royer, TV, Rusak, JA, Santamans, AC, Selmeczy, GB, Simiyu, G, Skuja, A, Smykla, J, Sridhar, KR, Sponseller, R, Stoler, A, Swan, CM, Szlag, D, Teixeira-de Mello, F, Tonkin, JD, Uusheimo, S, Veach, AM, Vilbaste, S, Vought, LBM, Wang, C-P, Webster, JR, Wilson, PB, Woelfl, S, Xenopoulos, MA, Yates, AG, Yoshimura, C, Yule, CM, Zhang, YX, and Zwart, JA

Abstract

River ecosystems receive and process vast quantities of terrestrial organic carbon, the fate of which depends strongly on microbial activity. Variation in and controls of processing rates, however, are poorly characterized at the global scale. In response, we used a peer-sourced research network and a highly standardized carbon processing assay to conduct a global-scale field experiment in greater than 1000 river and riparian sites. We found that Earth’s biomes have distinct carbon processing signatures. Slow processing is evident across latitudes, whereas rapid rates are restricted to lower latitudes. Both the mean rate and variability decline with latitude, suggesting temperature constraints toward the poles and greater roles for other environmental drivers (e.g., nutrient loading) toward the equator. These results and data set the stage for unprecedented “next-generation biomonitoring” by establishing baselines to help quantify environmental impacts to the functioning of ecosystems at a global scale.

Published
2019

2. Global patterns and drivers of ecosystem functioning in rivers and riparian zones

Author

Tiegs, S. D. (Scott D.), Costello, D. M. (David M.), Isken, M. W. (Mark W.), Woodward, G. (Guy), McIntyre, P. B. (Peter B.), Gessner, M. O. (Mark O.), Chauvet, E. (Eric), Griffiths, N. A. (Natalie A.), Flecker, A. S. (Alex S.), Acuna, V. (Vicenc), Albarino, R. (Ricardo), Allen, D. C. (Daniel C.), Alonso, C. (Cecilia), Andino, P. (Patricio), Arango, C. (Clay), Aroviita, J. (Jukka), Barbosa, M. V. (Marcus V. M.), Barmuta, L. A. (Leon A.), Baxter, C. V. (Colden V.), Bell, T. D. (Thomas D. C.), Bellinger, B. (Brent), Boyero, L. (Luz), Brown, L. E. (Lee E.), Bruder, A. (Andreas), Bruesewitz, D. A. (Denise A.), Burdon, F. J. (Francis J.), Callisto, M. (Marcos), Canhoto, C. (Cristina), Capps, K. A. (Krista A.), Castillo, M. M. (Maria M.), Clapcott, J. (Joanne), Colas, F. (Fanny), Colon-Gaud, C. (Checo), Cornut, J. (Julien), Crespo-Perez, V. (Veronica), Cross, W. F. (Wyatt F.), Culp, J. M. (Joseph M.), Danger, M. (Michael), Dangles, O. (Olivier), de Eyto, E. (Elvira), Derry, A. M. (Alison M.), Diaz Villanueva, V. (Veronica), Douglas, M. M. (Michael M.), Elosegi, A. (Arturo), Encalada, A. C. (Andrea C.), Entrekin, S. (Sally), Espinosa, R. (Rodrigo), Ethaiya, D. (Diana), Ferreira, V. (Veronica), Ferriol, C. (Carmen), Flanagan, K. M. (Kyla M.), Fleituch, T. (Tadeusz), Shah, J. J. (Jennifer J. Follstad), Frainer, A. (Andre), Friberg, N. (Nikolai), Frost, P. C. (Paul C.), Garcia, E. A. (Erica A.), Lago, L. G. (Liliana Garcia), Garcia Soto, P. E. (Pavel Ernesto), Ghate, S. (Sudeep), Giling, D. P. (Darren P.), Gilmer, A. (Alan), Goncalves, J. F. (Jose Francisco, Jr.), Gonzales, R. K. (Rosario Karina), Graca, M. A. (Manuel A. S.), Grace, M. (Mike), Grossart, H.-P. (Hans-Peter), Guerold, F. (Francois), Gulis, V. (Vlad), Hepp, L. U. (Luiz U.), Higgins, S. (Scott), Hishi, T. (Takuo), Huddart, J. (Joseph), Hudson, J. (John), Imberger, S. (Samantha), Iniguez-Armijos, C. (Carlos), Iwata, T. (Tomoya), Janetski, D. J. (David J.), Jennings, E. (Eleanor), Kirkwood, A. E. (Andrea E.), Koning, A. A. (Aaron A.), Kosten, S. (Sarian), Kuehn, K. A. (Kevin A.), Laudon, H. (Hjalmar), Leavitt, P. R. (Peter R.), Lemes da Silva, A. L. (Aurea L.), Leroux, S. J. (Shawn J.), Leroy, C. J. (Carri J.), Lisi, P. J. (Peter J.), MacKenzie, R. (Richard), Marcarelli, A. M. (Amy M.), Masese, F. O. (Frank O.), Mckie, B. G. (Brendan G.), Oliveira Medeiros, A. (Adriana), Meissner, K. (Kristian), Milisa, M. (Marko), Mishra, S. (Shailendra), Miyake, Y. (Yo), Moerke, A. (Ashley), Mombrikotb, S. (Shorok), Mooney, R. (Rob), Moulton, T. (Tim), Muotka, T. (Timo), Negishi, J. N. (Junjiro N.), Neres-Lima, V. (Vinicius), Nieminen, M. L. (Mika L.), Nimptsch, J. (Jorge), Ondruch, J. (Jakub), Paavola, R. (Riku), Pardo, I. (Isabel), Patrick, C. J. (Christopher J.), Peeters, E. T. (Edwin T. H. M.), Pozo, J. (Jesus), Pringle, C. (Catherine), Prussian, A. (Aaron), Quenta, E. (Estefania), Quesada, A. (Antonio), Reid, B. (Brian), Richardson, J. S. (John S.), Rigosi, A. (Anna), Rincon, J. (Jose), Risnoveanu, G. (Geta), Robinson, C. T. (Christopher T.), Rodriguez-Gallego, L. (Lorena), Royer, T. V. (Todd V.), Rusak, J. A. (James A.), Santamans, A. C. (Anna C.), Selmeczy, G. B. (Geza B.), Simiyu, G. (Gelas), Skuja, A. (Agnija), Smykla, J. (Jerzy), Sridhar, K. R. (Kandikere R.), Sponseller, R. (Ryan), Stoler, A. (Aaron), Swan, C. M. (Christopher M.), Szlag, D. (David), Teixeira-de Mello, F. (Franco), Tonkin, J. D. (Jonathan D.), Uusheimo, S. (Sari), Veach, A. M. (Allison M.), Vilbaste, S. (Sirje), Vought, L. B. (Lena B. M.), Wang, C.-P. (Chiao-Ping), Webster, J. R. (Jackson R.), Wilson, P. B. (Paul B.), Woelfl, S. (Stefan), Xenopoulos, M. A. (Marguerite A.), Yates, A. G. (Adam G.), Yoshimura, C. (Chihiro), Yule, C. M. (Catherine M.), Zhang, Y. X. (Yixin X.), Zwart, J. A. (Jacob A.), Tiegs, S. D. (Scott D.), Costello, D. M. (David M.), Isken, M. W. (Mark W.), Woodward, G. (Guy), McIntyre, P. B. (Peter B.), Gessner, M. O. (Mark O.), Chauvet, E. (Eric), Griffiths, N. A. (Natalie A.), Flecker, A. S. (Alex S.), Acuna, V. (Vicenc), Albarino, R. (Ricardo), Allen, D. C. (Daniel C.), Alonso, C. (Cecilia), Andino, P. (Patricio), Arango, C. (Clay), Aroviita, J. (Jukka), Barbosa, M. V. (Marcus V. M.), Barmuta, L. A. (Leon A.), Baxter, C. V. (Colden V.), Bell, T. D. (Thomas D. C.), Bellinger, B. (Brent), Boyero, L. (Luz), Brown, L. E. (Lee E.), Bruder, A. (Andreas), Bruesewitz, D. A. (Denise A.), Burdon, F. J. (Francis J.), Callisto, M. (Marcos), Canhoto, C. (Cristina), Capps, K. A. (Krista A.), Castillo, M. M. (Maria M.), Clapcott, J. (Joanne), Colas, F. (Fanny), Colon-Gaud, C. (Checo), Cornut, J. (Julien), Crespo-Perez, V. (Veronica), Cross, W. F. (Wyatt F.), Culp, J. M. (Joseph M.), Danger, M. (Michael), Dangles, O. (Olivier), de Eyto, E. (Elvira), Derry, A. M. (Alison M.), Diaz Villanueva, V. (Veronica), Douglas, M. M. (Michael M.), Elosegi, A. (Arturo), Encalada, A. C. (Andrea C.), Entrekin, S. (Sally), Espinosa, R. (Rodrigo), Ethaiya, D. (Diana), Ferreira, V. (Veronica), Ferriol, C. (Carmen), Flanagan, K. M. (Kyla M.), Fleituch, T. (Tadeusz), Shah, J. J. (Jennifer J. Follstad), Frainer, A. (Andre), Friberg, N. (Nikolai), Frost, P. C. (Paul C.), Garcia, E. A. (Erica A.), Lago, L. G. (Liliana Garcia), Garcia Soto, P. E. (Pavel Ernesto), Ghate, S. (Sudeep), Giling, D. P. (Darren P.), Gilmer, A. (Alan), Goncalves, J. F. (Jose Francisco, Jr.), Gonzales, R. K. (Rosario Karina), Graca, M. A. (Manuel A. S.), Grace, M. (Mike), Grossart, H.-P. (Hans-Peter), Guerold, F. (Francois), Gulis, V. (Vlad), Hepp, L. U. (Luiz U.), Higgins, S. (Scott), Hishi, T. (Takuo), Huddart, J. (Joseph), Hudson, J. (John), Imberger, S. (Samantha), Iniguez-Armijos, C. (Carlos), Iwata, T. (Tomoya), Janetski, D. J. (David J.), Jennings, E. (Eleanor), Kirkwood, A. E. (Andrea E.), Koning, A. A. (Aaron A.), Kosten, S. (Sarian), Kuehn, K. A. (Kevin A.), Laudon, H. (Hjalmar), Leavitt, P. R. (Peter R.), Lemes da Silva, A. L. (Aurea L.), Leroux, S. J. (Shawn J.), Leroy, C. J. (Carri J.), Lisi, P. J. (Peter J.), MacKenzie, R. (Richard), Marcarelli, A. M. (Amy M.), Masese, F. O. (Frank O.), Mckie, B. G. (Brendan G.), Oliveira Medeiros, A. (Adriana), Meissner, K. (Kristian), Milisa, M. (Marko), Mishra, S. (Shailendra), Miyake, Y. (Yo), Moerke, A. (Ashley), Mombrikotb, S. (Shorok), Mooney, R. (Rob), Moulton, T. (Tim), Muotka, T. (Timo), Negishi, J. N. (Junjiro N.), Neres-Lima, V. (Vinicius), Nieminen, M. L. (Mika L.), Nimptsch, J. (Jorge), Ondruch, J. (Jakub), Paavola, R. (Riku), Pardo, I. (Isabel), Patrick, C. J. (Christopher J.), Peeters, E. T. (Edwin T. H. M.), Pozo, J. (Jesus), Pringle, C. (Catherine), Prussian, A. (Aaron), Quenta, E. (Estefania), Quesada, A. (Antonio), Reid, B. (Brian), Richardson, J. S. (John S.), Rigosi, A. (Anna), Rincon, J. (Jose), Risnoveanu, G. (Geta), Robinson, C. T. (Christopher T.), Rodriguez-Gallego, L. (Lorena), Royer, T. V. (Todd V.), Rusak, J. A. (James A.), Santamans, A. C. (Anna C.), Selmeczy, G. B. (Geza B.), Simiyu, G. (Gelas), Skuja, A. (Agnija), Smykla, J. (Jerzy), Sridhar, K. R. (Kandikere R.), Sponseller, R. (Ryan), Stoler, A. (Aaron), Swan, C. M. (Christopher M.), Szlag, D. (David), Teixeira-de Mello, F. (Franco), Tonkin, J. D. (Jonathan D.), Uusheimo, S. (Sari), Veach, A. M. (Allison M.), Vilbaste, S. (Sirje), Vought, L. B. (Lena B. M.), Wang, C.-P. (Chiao-Ping), Webster, J. R. (Jackson R.), Wilson, P. B. (Paul B.), Woelfl, S. (Stefan), Xenopoulos, M. A. (Marguerite A.), Yates, A. G. (Adam G.), Yoshimura, C. (Chihiro), Yule, C. M. (Catherine M.), Zhang, Y. X. (Yixin X.), and Zwart, J. A. (Jacob A.)

Abstract

River ecosystems receive and process vast quantities of terrestrial organic carbon, the fate of which depends strongly on microbial activity. Variation in and controls of processing rates, however, are poorly characterized at the global scale. In response, we used a peer-sourced research network and a highly standardized carbon processing assay to conduct a global-scale field experiment in greater than 1000 river and riparian sites. We found that Earth’s biomes have distinct carbon processing signatures. Slow processing is evident across latitudes, whereas rapid rates are restricted to lower latitudes. Both the mean rate and variability decline with latitude, suggesting temperature constraints toward the poles and greater roles for other environmental drivers (e.g., nutrient loading) toward the equator. These results and data set the stage for unprecedented “next-generation biomonitoring” by establishing baselines to help quantify environmental impacts to the functioning of ecosystems at a global scale.

Published
2019

3. Combined Optical Coherence and Fluorescence Microscopy to assess dynamics and specificity of pancreatic beta-cell tracers

Author

Berclaz, C., Pache, C., Bouwens, A., Szlag, D., Lopez, A., Joosten, L., Ekim, S., Brom, M., Gotthardt, M., Grapin-Botton, A., Lasser, T., Berclaz, C., Pache, C., Bouwens, A., Szlag, D., Lopez, A., Joosten, L., Ekim, S., Brom, M., Gotthardt, M., Grapin-Botton, A., and Lasser, T.

Abstract

Contains fulltext : 154814.pdf (publisher's version ) (Open Access), The identification of a beta-cell tracer is a major quest in diabetes research. However, since MRI, PET and SPECT cannot resolve individual islets, optical techniques are required to assess the specificity of these tracers. We propose to combine Optical Coherence Microscopy (OCM) with fluorescence detection in a single optical platform to facilitate these initial screening steps from cell culture up to living rodents. OCM can image islets and vascularization without any labeling. Thereby, it alleviates the need of both genetically modified mice to detect islets and injection of external dye to reveal vascularization. We characterized Cy5.5-exendin-3, an agonist of glucagon-like peptide 1 receptor (GLP1R), for which other imaging modalities have been used and can serve as a reference. Cultured cells transfected with GLP1R and incubated with Cy5.5-exendin-3 show full tracer internalization. We determined that a dose of 1 mug of Cy5.5-exendin-3 is sufficient to optically detect in vivo the tracer in islets with a high specificity. In a next step, time-lapse OCM imaging was used to monitor the rapid and specific tracer accumulation in murine islets and its persistence over hours. This optical platform represents a versatile toolbox for selecting beta-cell specific markers for diabetes research and future clinical diagnosis.

Published
2015

4. Combined Optical Coherence and Fluorescence Microscopy to assess dynamics and specificity of pancreatic beta-cell tracers

Author

Berclaz, C., Pache, C., Bouwens, A., Szlag, D., Lopez, A., Joosten, L., Ekim, S., Brom, M., Gotthardt, M., Grapin-Botton, A., Lasser, T., Berclaz, C., Pache, C., Bouwens, A., Szlag, D., Lopez, A., Joosten, L., Ekim, S., Brom, M., Gotthardt, M., Grapin-Botton, A., and Lasser, T.

Abstract

Contains fulltext : 154814.pdf (publisher's version ) (Open Access), The identification of a beta-cell tracer is a major quest in diabetes research. However, since MRI, PET and SPECT cannot resolve individual islets, optical techniques are required to assess the specificity of these tracers. We propose to combine Optical Coherence Microscopy (OCM) with fluorescence detection in a single optical platform to facilitate these initial screening steps from cell culture up to living rodents. OCM can image islets and vascularization without any labeling. Thereby, it alleviates the need of both genetically modified mice to detect islets and injection of external dye to reveal vascularization. We characterized Cy5.5-exendin-3, an agonist of glucagon-like peptide 1 receptor (GLP1R), for which other imaging modalities have been used and can serve as a reference. Cultured cells transfected with GLP1R and incubated with Cy5.5-exendin-3 show full tracer internalization. We determined that a dose of 1 mug of Cy5.5-exendin-3 is sufficient to optically detect in vivo the tracer in islets with a high specificity. In a next step, time-lapse OCM imaging was used to monitor the rapid and specific tracer accumulation in murine islets and its persistence over hours. This optical platform represents a versatile toolbox for selecting beta-cell specific markers for diabetes research and future clinical diagnosis.

Published
2015

5. Quantitative cerebral blood flow imaging with extended-focus optical coherence microscopy

Author

Bouwens, Arno, Bolmont, T, Szlag, D, Berclaz, Corinne, Lasser, Theo, Bouwens, Arno, Bolmont, T, Szlag, D, Berclaz, Corinne, and Lasser, Theo

Abstract

Quantitative three-dimensional blood flow imaging is a valuable technique to investigate the physiology of the brain. Two-photon microscopy (2PM) allows quantification of the local blood flow velocity with micrometric resolution by performing repeated line scans, but prohibitively long measurement times would be required to apply this technique to full three-dimensional volumes. By multiplexing the image acquisition over depth, Fourier domain optical coherence tomography (FDOCT) enables quantification of blood flow velocities with a high volume acquisition rate, albeit at a relatively low spatial resolution. Extended-focus optical coherence microscopy (xfOCM) increases the lateral resolution without sacrificing depth of field and therefore combines the high volume acquisition rate of FDOCT with a resolution comparable to 2PM. Here, we demonstrate high-resolution quantitative imaging of the blood flow velocity vector’s magnitude in the adult murine brain with xfOCM., info:eu-repo/semantics/published

Published
2014

6. Quantitative cerebral blood flow imaging with extended-focus optical coherence microscopy

Author

Bouwens, Arno, Bolmont, T, Szlag, D, Berclaz, Corinne, Lasser, Theo, Bouwens, Arno, Bolmont, T, Szlag, D, Berclaz, Corinne, and Lasser, Theo

Abstract

Quantitative three-dimensional blood flow imaging is a valuable technique to investigate the physiology of the brain. Two-photon microscopy (2PM) allows quantification of the local blood flow velocity with micrometric resolution by performing repeated line scans, but prohibitively long measurement times would be required to apply this technique to full three-dimensional volumes. By multiplexing the image acquisition over depth, Fourier domain optical coherence tomography (FDOCT) enables quantification of blood flow velocities with a high volume acquisition rate, albeit at a relatively low spatial resolution. Extended-focus optical coherence microscopy (xfOCM) increases the lateral resolution without sacrificing depth of field and therefore combines the high volume acquisition rate of FDOCT with a resolution comparable to 2PM. Here, we demonstrate high-resolution quantitative imaging of the blood flow velocity vector’s magnitude in the adult murine brain with xfOCM., info:eu-repo/semantics/published

Published
2014

7. Blood flow measurement and slow flow detection in retinal vessels with Joint Spectral and Time domain method in ultrahigh speed OCT

Author

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, Fujimoto, James G., Gorczynska, Iwona, Szkulmowski, M., Grulkowski, Ireneusz, Szkulmowska, A., Szlag, D., Kowalczyk, Andrzej, Wojtkowski, M., Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, Fujimoto, James G., Gorczynska, Iwona, Szkulmowski, M., Grulkowski, Ireneusz, Szkulmowska, A., Szlag, D., Kowalczyk, Andrzej, and Wojtkowski, M.

Abstract

We present an application of the Joint Spectral and Time domain OCT (STdOCT) method for detection of wide range of flows in the retinal vessels. We utilized spectral/Fourier domain OCT (SOCT) technique for development of scan protocols for Doppler signal analysis. We performed retinal imaging in normal eyes using ultrahigh speed (200 000 axial scans/s) SOCT instrument with a CMOS camera. Various raster scan protocols were implemented for investigation of blood flow in the retina. Data analysis was performed using the method of joint Spectral and Time domain OCT (STdOCT). Detection of blood flow velocities ranging from several tens of mm/s to a fraction of mm/s was possible with scanning methods allowing for appropriate selection of time intervals between data taken for Doppler OCT analysis. Axial blood flow velocity measurement was possible in retinal vessels. Doppler OCT signal can be utilized as a contrast mechanism for visualization of retinal capillaries., Poland. Ministry of Science and Higher Education (Grant Number 2076/B/H03/2009/37)

Published
2012

8. Blood flow measurement and slow flow detection in retinal vessels with Joint Spectral and Time domain method in ultrahigh speed OCT

Author

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, Fujimoto, James G., Gorczynska, Iwona, Szkulmowski, M., Grulkowski, Ireneusz, Szkulmowska, A., Szlag, D., Kowalczyk, Andrzej, Wojtkowski, M., Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Research Laboratory of Electronics, Fujimoto, James G., Gorczynska, Iwona, Szkulmowski, M., Grulkowski, Ireneusz, Szkulmowska, A., Szlag, D., Kowalczyk, Andrzej, and Wojtkowski, M.

Abstract

We present an application of the Joint Spectral and Time domain OCT (STdOCT) method for detection of wide range of flows in the retinal vessels. We utilized spectral/Fourier domain OCT (SOCT) technique for development of scan protocols for Doppler signal analysis. We performed retinal imaging in normal eyes using ultrahigh speed (200 000 axial scans/s) SOCT instrument with a CMOS camera. Various raster scan protocols were implemented for investigation of blood flow in the retina. Data analysis was performed using the method of joint Spectral and Time domain OCT (STdOCT). Detection of blood flow velocities ranging from several tens of mm/s to a fraction of mm/s was possible with scanning methods allowing for appropriate selection of time intervals between data taken for Doppler OCT analysis. Axial blood flow velocity measurement was possible in retinal vessels. Doppler OCT signal can be utilized as a contrast mechanism for visualization of retinal capillaries., Poland. Ministry of Science and Higher Education (Grant Number 2076/B/H03/2009/37)

Published
2012

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