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18 results on '"Lilge, Lothar"'

2. Additional file 1 of Exposure to polycyclic aromatic hydrocarbons during pregnancy and breast tissue composition in adolescent daughters and their mothers: a prospective cohort study

Author

Kehm, Rebecca D., Walter, E. Jane, Oskar, Sabine, White, Melissa L., Tehranifar, Parisa, Herbstman, Julie B., Perera, Frederica, Lilge, Lothar, Miller, Rachel L., and Terry, Mary Beth

Abstract

Additional file 1. Mean predictions of breast tissue chromophores measured from optical spectroscopy (OS) by age at OS measurement quintiles in adolescent daughters and mothers in the Columbia-BCERP Study. Presents the mean water content, collagen content, and lipid content in the breast tissue of daughters and mothers by quintiles of age at optical spectroscopy measurement and age at menarche (daughters only).

Published
2022
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4. Stimulated raman scattering microscopy reveals silicone in breast tissue

Author

Schmidt, Robert W., van Haasterecht, Ludo, Zada, Liron, de Bakker, Erik, Barbé, Ellis, Leslie, Heather A., Vethaak, A. Dick, Gibbs, Susan, de Boer, Johannes F., Niessen, Frank B., van Zuijlen, Paul P.M., Groot, Marie Louise, Ariese, Freek, Huang, Zhiwei, Lilge, Lothar D., LaserLaB - Biophotonics and Microscopy, Biophotonics and Medical Imaging, E&H: Environmental Chemistry and Toxicology, AIMMS, Environment and Health, Oral Cell Biology, Amsterdam Neuroscience - Brain Imaging, Huang, Zhiwei, Lilge, Lothar D., Plastic, Reconstructive and Hand Surgery, VU University medical center, Amsterdam Movement Sciences, Pathology, Other Research, Molecular cell biology and Immunology, Ophthalmology, Amsterdam Neuroscience - Systems & Network Neuroscience, AMS - Tissue Function & Regeneration, Paediatric Surgery, AII - Cancer immunology, AII - Inflammatory diseases, and CCA - Cancer biology and immunology

Subjects
inorganic chemicals, stomatognathic diseases, technology, industry, and agriculture, macromolecular substances, complex mixtures
Abstract

Light microscopes don't have the ability to identify silicone (PDMS) particles from implants in histological slides. We describe a label-free method based on stimulated Raman scattering microscopy to locate and identify silicone in breast tissue.

Published
2021
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5. Translation of third and second harmonic generation microscopy into the clinic for the assessment of fresh lung tumor tissue

Author

Van Huizen, L.M.G., Daniels, J.M.A., Radonic, T., van Mourik, F., Dickhoff, C., Bahce, I., Annema, J.T., Groot, M.L., Huang, Zhiwei, Lilge, Lothar D., Huang, Zhiwei, Lilge, Lothar D., Pulmonology, CCA - Cancer biology and immunology, CCA - Imaging and biomarkers, Biophotonics and Medical Imaging, LaserLaB - Biophotonics and Microscopy, Amsterdam Neuroscience - Brain Imaging, Pulmonary medicine, CCA - Cancer Treatment and quality of life, Pathology, Cardio-thoracic surgery, Surgery, and VU University medical center

Abstract

We show a portable third and second harmonic generation microscope in the clinic generating 3D real-time high resolution images of fresh lung tumor tissue providing immediate pathological feedback for clinicians potentially reducing endoscopy/operation time.

Published
2021
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7. Bringing third and second harmonic generation microscopy into the clinic for the assessment of fresh lung tissue

Author

Van Huizen, Laura M.G., Seinstra, Daniëlle, Dickhoff, Chris, Radonic, Teodora, Bahce, Idris, Van Mourik, Frank, Annema, Jouke T., Daniels, Johannes M.A., Van Boven, Wim Jan P., Groot, Marie Louise, Lilge, Lothar D., Philipp, Carsten M., Pulmonology, AII - Cancer immunology, AII - Inflammatory diseases, CCA - Imaging and biomarkers, Cardiothoracic Surgery, ACS - Heart failure & arrhythmias, Cardio-thoracic surgery, Pathology, Pulmonary medicine, Lilge, Lothar D., Philipp, Carsten M., LaserLaB - Biophotonics and Microscopy, Biophotonics and Medical Imaging, and Amsterdam Neuroscience - Brain Imaging

Subjects
Third harmonic generation microscopy, Frozen section procedure, Microscope, business.industry, Histology, Second Harmonic Generation Microscopy, law.invention, SDG 3 - Good Health and Well-being, law, Validation, Microscopy, Second harmonic generation microscopy, Medicine, Lung tumor, Lung surgery, business, Nuclear medicine, Lung tissue, Clinic
Abstract

Third and second harmonic generation (THG/SHG) microscopy is a novel imaging technique that has been suggested as a promising clinical tool, mainly for cancer diagnosis. Here, we test for the first time a compact, transportable ex-vivo THG/SHG microscope (Tritos Diagnostics B.V.) for clinical use. In lung surgery, immediate feedback on the nature of the excised tissue is important. We will present the first results of an ongoing study in which we image both lung tumor tissue immediately after excision and frozen section biopsies, and compare the images to the golden standard histology. Prior to this study, we performed a set of experiments collecting 3D images of mouse lung tissue to show that the combination of THG and SHG microscopy reveals key lung morphology components.

Published
2019
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8. A006 Patterns of Sedentary Behaviour and Physical Activity in Older Adults Post Hip Fracture

Author

Hamilton, Clayon B., Chesworth, Bert M., Zusman, Enav Zipora, Dawes, Martin, Fleig, Lena, McAllister, Megan M., Cook, Wendy L., McKay, Heather A., Khan, Karim M., Brasher, Penelope, Ashe, Maureen C., Dewan, Neha, MacDermid, Joy, MacIntyre, Norma, Grewal, Ruby, Fricke, Moni, Harvey, Liz, Pereira, Gisele, Garrett, Mark, Babatunde, Folarin Omoniyi, MacDermid, Joy C., McGowan, Emer, Martin, Gillian, Stokes, Emma, Sharma, Vivek, Zia, Nayeem, Kaur, Harraman, Christie, Heather Joyce, Rapko, Sarah Michelle, Stobart, Lori Patricia Graumann, Levac, Danielle E., Miller, Patricia A., Glegg, Stephanie M. N., Colquhoun, Heather, Wright, F. Virginia, Young, Rozlyn, Chan, Catherine, Dawes, Stacey, Tse, Emily, Greig, Alison M., Murphy, Sue, Lowe, Eric, Miles, Luke, Richards, Scott, von Schellwitz, Christopher, Wark, Krysta, Dawson, Lynn, Harrington, Kristyn, Dessureault, Liam, Martin, Anne-Michelle, Tehrani, Pooneh, DeVries, Zachary, Howe, Jo-Anne Adelle, Salbach, Nancy Margaret, Tee, Alda, Moller, Jason, French, Esme, Lang, Melissa, Hoens, Alison, Westby, Marie D., Longstaff, Steven, Duggan, Maureen, Young, Steven James, Tait, James Curtis, Jawl, Bradley, Hoens, Alison Alice Maria, Houghton, Pamela, Nussbaum, Ethne L., Shay, Barbara L., Musselman, Kristin, Miller, Stuart, Pollock, Courtney, Miller, Kimberly, Garland, Jayne, Carvajal, Jennifer, Sheppard, Phillip, Harris, Susan R., Moreside, Janice Marie, Scannell, Joan P., Roots, Robin K., Murphy, Susan, Worthington, Anne, Yeung, Euson, Gibson, Barbara, Shaw, jay, Kuper, Ayelet, Nixon, Stephanie, Switzer-McIntyre, Sharon, Song, Wonju, Sharkey, Megan, Norman, Kathleen, Hopkins-Rosseel, Diana, Miller, Carol E., Puri, Carol, Nilson, JoAnn Kathryn, Mulder, Kathy J., Wittmeier, Kristy, Schachter, Candice L., Arnold, Cathy, Oosman, Sarah, Lomotey, Richard, Beavers, Lindsay, Miller, Erin, Manns, Patricia, Kwok, Alyson, Nazarali, Jenna, Schroeder, Linaya, Sehn, Megan, Stout, Kirsten, Potter, Jadon, Singh, Lauren, Durocher, Liz, Roy, Thomas, Abonyi, Sylvia, Oosman, Sarah N., Roberts, Kerrie Anne, Lowcock, Janet Elizabeth, Dhir, Jasdeep, Walton, Dave, Millard, Jim, Mori, Brenda, Evans, Cathy, Webber, Sandra C., Harvey, Elizabeth H., Dean, Brenda G., Proctor, Peggy L., Lindsay, Jane, Harvey, Drew, Hunter, Susan, Batchelor, Frances, Hill, Keith, Hill, Anne-Marie, Mackintosh, Shylie, Payne, Michael, Arnold, Catherine, Johnston, JoAnn Walker, Lanovaz, Joel, Lattimer, Lauren, Richardson, Julie Anne, Letts, Lori, Chan, David, Sinclair, Susanne, Mangin, Derelie, Sarah, Sanford, Wojkowski, Sarah, Donnelly, Catherine, Benson, Katie, Schimmell, Alex, Truong, Devonna, Dunkley, Magen, DePaul, Vincent G., Esculier, Jean-Francois, Bouyer, Laurent Julien, Roy, Jean-Sébastien, Whittaker, Jackie L., Toomey, Clodagh, Nettel-Aguirre, Alberto, Jaremko, Jacob, Woodhouse, Linda J., Emery, Carolyn A., Kennedy, Deborah M., Stratford, Paul, Massei, Michael, Sanzo, Paolo, Przysucha, Eryk, Dhaidan, Ghaith, Maunula, Mikko, Solomon, Vaeda, Souza-Barros, Leanna, Gabison, Sharon, Lilge, Lothar, Ezeugwu, Victor E., Garga, Neera, Manns, Patricia J., Barclay, Ruth, Miller, Pat, Pooyania, Sepideh, Nixon, Stephanie A., Cameron, Cathy, Chambers, Lori, Kassam, Aly, Montgomery, Robin, Worthington, Catherine, Maimbolwa, Margaret, Mbulaheni, Tola, Pierre-Pierre, Valerie, Tattle, Stephen, Katz, Shikma, Kalichman, Leonid, Zaltzman, Yacov, Arad, Racheli, Nachmani, Hadas, Hauser, Daniele, Marcus, Esther-Lee, Bernard, Stephanie, Moffet, Helene, Dumoulin, Chantale, Ouellet, Marie-Pier, Plante, Marie, Odole, Adesola Christiana, Olugbenga-Alfred, Adenike Agnes, Siu, Henry, Razmjou, Helen, Robarts, Susan, Kennedy, Deborah, Holtby, Richard, Bognar, Stephanie, DeFaria, AnneMarie, O’Dwyer, Casey, Pankiw, Elana, Simic, Jennifer, Nyhof-Young, Joyce, Teixeira, Suzanne, Barker, Meghan, Nasopoulos, Theodora, Noad, Jennifer, Patterson, Kara K., Sibley, Kathryn M., Adams, Meaghan Shearer, Staines, W. Richard, Smetaniuk, Tracey, Johnson, Darren, Block, Kristi, Creurer, Jeremy, Schlegel, Magdalena, Verchere, Cynthia, Bellows, Doria B., Durlacher, Kim, Pike, Jeffrey, Bucevska, Marija, Fitzsimmons, Matthew, Bostick, Geoff, Holly, Janet Teresa, Grieve, Sharon, Perez, Roberto SGM., Birklein, Frank, Brunner, Florian, Bruehl, Stephen, Harden, Norm, Packham, Tara, Gobeil, Francois, McCabe, Candy, Moskovitz, Peter, Haigh, Richard, Handford, Midori, Lepine, Kiera, Boccia, Kristina, Ruddick, Francesca, Alyeksyeyeva, Darya, Thompson, Aaron, Holness, Linn, MacDermid, Joy Christine, Gogia, Pritika, Bello-Haas, Vanina Dal, O’Connell, Megan E., Morgan, Debra, Smith, Jenna, Richardson, Julie, Wong, Andy, Charchun, Sarabjeet, Feehan, Lynne, Cooper, Nicole S., Chong, Evelyn, Cheng, Isabella, Horner, Stephanie, Stairs, Emily, Howland, Raymond, Alsharafi, Zuhair, DasGupta, Tracey, Cho, Nancy Joywynne, Woods, Kyleigh Alexandra, Taylor, Kristin Leigh, Publicover, Cathy, Hatchette, Jill E., Yungblut, Susan M., Parsons, Trisha, Gasparelli, Katie, McKenzie, Brooke, Crowley, Hilary, Virag, Olivia, Seng-iad, Sirirat, Maximos, Melody, McLeod, Kate, Smart, Amanda, Sauvé, Dorianne, Landry, Michel D., Raman, Sudha, Macdonald, Allan Andrew, Kane, Kyra, Ezzat, Allison M., Whittaker, Jackie, Doyle-Baker, Patricia, Rosiers, Piaf Des, MacKay-Lyons, Marilyn, Parker, Robin, Keeler, Laura, McArthur, Caitlin, Patel, Ruchit, Gatobu, Sospeter, Papaioannou, Alexandra, Laprade, Judi, Cheung, Angela M., Jain, Ravi, Lee, Linda, Giangregorio, Lora, Silveira, Anelise, Beaupre, Lauren, Styles-Tripp, Fiona, Luciak-Corea, Charlene, Bouliane, Martin, Balyk, Robert, Lalani, Aleem, Glasgow, Robert, Bergman, Joseph, Sheps, David, Petitclerc, Émilie, Hébert, Luc J., Desrosiers, Johanne, Mathieu, Jean, Gagnon, Cynthia, O’Donovan, Mary Jane, McLean, Linda, Hunter, Judith, Pukall, Caroline, Krupa, Terry, Montpetit-Tourangeau, Katherine, Hudon, Anne, Windsor, Monica, Dyer, Joseph-Omer, Charlin, Bernard, Mamede, Sílvia, van Gog, Tamara, Coghlan, Cara, Mallinger, Hilary, Richard, Jocelynn, Stern, Arlee, Deslauriers, Simon, Raymond, Marie-Hélène, Laliberté, Maude, Lavoie, Amélie, Desmeules, François, Feldman, Debbie E., Perreault, Kadija, Pierre, Alec St, Turpin, Danielle, Piccinin, Adam, Toscan, Jordan, Gross, Anita, Gandhi, Payal, Chan, Katherine, Verrier, Molly, Persadie, Nicholas R., Obeid, Joyce, Scott, Lisa, Piscione, Janine, Mabbott, Donald J., Timmons, Brian W., Sivarajah, Lavan, Bisaro, Derek, Oates, Alison, Ouellet, Philippe, Décary, Simon, Vendittoli, Pascal-André, Macri, Erin M., Crossley, Kay M., d’Entremont, Agnes, Hart, Harvi, Forster, Bruce, Wilson, David, Ratzlaff, Charles, Louie, Dennis R., Eng, Janice, Miller, Jordan, Wideman, Timothy H., Desmeules, Francois, Jaindl, Bryna, Dykes, Lorenne, Coulthard, Jason, Naylen, Jessica, Rochelau, Noelle, Bath, Brenna, Clay, Lynne, Idrees, Muhammed, Trask, Catherine, Boudreau, Kaitlyn Sarah, McNeely, Margaret, Hung, Stanley H., Rafn, Bolette S., Hoens, Alison M., McNeely, Margaret L., Singh, Chiara, Kwan, Winkle, Dingee, Carol K., McKevitt, Elaine C., Kuusk, Urve, Goldsmith, Charles H., Campbell, Kristin L., Ospina, Paula Alejandra, Decary, Simon, Fallaha, Michel, Pelletier, Bruno, Frémont, Pierre, Martel-Pelletier, Johanne, Pelletier, Jean-Pierre, Feldman, Debbie, Massé, Vincent, Sylvestre, Marie-Pierre, Kriellaars, Dean, Stefanik, Joshua J., Bell, Chris, Brigham, L. Keltie, Cyr, Scott, Deneiko, Melanie, Okrainec, Matthew, Kzyzyk, Joanne, Madill, Stéphanie Jane, AlOnazi, Mona M., Miazga, Kirsten J., Culos-Reed, S. Nicole, Yurick, Janice, and Smith-Turchyn, Jenna

Subjects
Poster Presentations, Innovation in Education, Abstract Presentations, Student Abstracts, Proposal Presentations, Physiotherapy Research: from Basic Science to Population Health, Article, Best Practice, Practice Models and Health Policy
Published
2016

9. Additional file 2: Table S1A. of Non-invasive optical spectroscopic monitoring of breast development during puberty

Author

Lilge, Lothar, Terry, Mary, Walter, Jane, Dushanthi Pinnaduwage, Gord Glendon, Hanna, Danielle, Mai-Liis Tammemagi, Bradbury, Angela, Buys, Saundra, Daly, Mary, John, Esther, Knight, Julia, and Andrulis, Irene

Abstract

Summary statistics for predictor variables in the breast TS groups. Table S1B. Summary statistics for predictor variables in the early breast development stage (TS1â TS2) and late breast development stage (TS3â TS5) groups. Table S2A. Correlation analysis in the full study group. Table S2B. Correlation analysis in the late stage (TS3â TS5) subgroup. Table S3A. Values of R for correlation between the PC spectra and chromophore spectra. Table S3B. Strength of PC spectra to chromophore spectra correlation as given by the P value. (PDF 637 kb)

Published
2017
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10. Gold nanoparticle-mediated laser stimulation causes a complex stress signal in neuronal cells

Author

Johannsmeier, Sonja, Heeger, Patrick, Terakawa, Mitsuhiro, Kalies, Stefan, Heisterkamp, Alexander, Ripken, Tammo, Heinemann, Dag, Lilge, Lothar D., and Sroka, Ronald

Subjects
Cell signaling, Materials science, Stress signaling, Cells, Cell, Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau, chemistry.chemical_element, Nanoparticle, Metal nanoparticles, Stimulation, Stimulus (physiology), Calcium, Cellular reactions, law.invention, Single-cell level, law, Neuroimplants, medicine, Gold Nanoparticles, Neurostimulation, Konferenzschrift, Laser-cell-interaction, Tissue, Laser, Laser tissue interaction, Calcium response, medicine.anatomical_structure, chemistry, Laser stimulation, Colloidal gold, Cell interaction, Biophysics, Nanoparticles, Gold, ddc:620, Cell activation, Cytology, Laser applications, Biomedical engineering
Abstract

Gold nanoparticle mediated laser stimulation of neuronal cells allows for cell activation on a single-cell level. It could therefore be considered an alternative to classical electric neurostimulation. The physiological impact of this new approach has not been intensively studied so far. Here, we investigate the targeted cell's reaction to a laser stimulus based on its calcium response. A complex cellular reaction involving multiple sources has been revealed. © 2017 SPIE-OSA.

Published
2017
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11. Additional file 1: Figure S1A. of Non-invasive optical spectroscopic monitoring of breast development during puberty

Author

Lilge, Lothar, Terry, Mary, Walter, Jane, Dushanthi Pinnaduwage, Gord Glendon, Hanna, Danielle, Mai-Liis Tammemagi, Bradbury, Angela, Buys, Saundra, Daly, Mary, John, Esther, Knight, Julia, and Andrulis, Irene

Abstract

OS instrument with an image of the source and detector on a forearm. Figure S1B. Template allowing source detector placement. Figure S1C. Absorption spectra provided by the five dominant absorbers in breast tissue, collagen (black solid line), lipid (black dashed line), water (black dotted line), hemoglobin (gray solid line) and oxyhemoglobin (gray dotted line). Figure S2A. PC1 (black solid line), PC2 (blue dashed line), PC3 (red dashed-dotted line) and PC4 (green dotted line). Figure S2B. PC5 (black solid line), PC6 (blue dashed line), PC7 (red dashed-dotted line) and PC8 (green dotted line). Figure S3A. Predictors of TS1–TS4. Figure S3B. Predictors of early (TS1–TS2) and late (TS3–TS5) pubertal stages. Figure S4A. Random forest feature selection for a classifier of TS1–TS4. Figure S4B. Random forest feature selection for a classifier of early (TS1–TS2) and late (TS3–TS5). Figure S5. BCRS against predictor variables. (PDF 6282 kb)

Published
2017
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12. Additional file 2: Table S1A. of Non-invasive optical spectroscopic monitoring of breast development during puberty

Author

Lilge, Lothar, Terry, Mary, Walter, Jane, Dushanthi Pinnaduwage, Gord Glendon, Hanna, Danielle, Mai-Liis Tammemagi, Bradbury, Angela, Buys, Saundra, Daly, Mary, John, Esther, Knight, Julia, and Andrulis, Irene

Abstract

Summary statistics for predictor variables in the breast TS groups. Table S1B. Summary statistics for predictor variables in the early breast development stage (TS1â TS2) and late breast development stage (TS3â TS5) groups. Table S2A. Correlation analysis in the full study group. Table S2B. Correlation analysis in the late stage (TS3â TS5) subgroup. Table S3A. Values of R for correlation between the PC spectra and chromophore spectra. Table S3B. Strength of PC spectra to chromophore spectra correlation as given by the P value. (PDF 637 kb)

Published
2017
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13. Additional file 1: Figure S1A. of Non-invasive optical spectroscopic monitoring of breast development during puberty

Author

Lilge, Lothar, Terry, Mary, Walter, Jane, Dushanthi Pinnaduwage, Gord Glendon, Hanna, Danielle, Mai-Liis Tammemagi, Bradbury, Angela, Buys, Saundra, Daly, Mary, John, Esther, Knight, Julia, and Andrulis, Irene

Abstract

OS instrument with an image of the source and detector on a forearm. Figure S1B. Template allowing source detector placement. Figure S1C. Absorption spectra provided by the five dominant absorbers in breast tissue, collagen (black solid line), lipid (black dashed line), water (black dotted line), hemoglobin (gray solid line) and oxyhemoglobin (gray dotted line). Figure S2A. PC1 (black solid line), PC2 (blue dashed line), PC3 (red dashed-dotted line) and PC4 (green dotted line). Figure S2B. PC5 (black solid line), PC6 (blue dashed line), PC7 (red dashed-dotted line) and PC8 (green dotted line). Figure S3A. Predictors of TS1–TS4. Figure S3B. Predictors of early (TS1–TS2) and late (TS3–TS5) pubertal stages. Figure S4A. Random forest feature selection for a classifier of TS1–TS4. Figure S4B. Random forest feature selection for a classifier of early (TS1–TS2) and late (TS3–TS5). Figure S5. BCRS against predictor variables. (PDF 6282 kb)

Published
2017
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14. Fast and automatic depth control of iterative bone ablation based on optical coherence tomography data

Author

Fuchs, Alexander, Pengel, Steffen, Bergmeier, Jan, Kahrs, Lüder Alexander, Ortmaier, Tobias, Lilge, Lothar D., and Sroka, Ronald

Subjects
Laser surgery, Iterative methods, medicine.medical_treatment, Coordinate system, Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau, Ablation, law.invention, OCT registration, law, Dental cutting tools, Er:YAG lasers, Tomography, Image data processing, medicine.diagnostic_test, YAG lasers [Er], Data handling, Specific ablation rates, Anatomical structures, Bone cutting, Motion planning, ddc:620, Optical data processing, Algorithms, Laser applications, Erbium, Materials science, Soft tissue ablation, Image processing, Optics, Optical coherence tomography, Automatic bone cutting, medicine, Bone, YAG laser [Er], Konferenzschrift, Optical tomography, Tissue, business.industry, Automatic depth controls, Laser, Ablation control, Laser tissue interaction, Focus (optics), business, Er:YAG laser, Biomedical engineering
Abstract

Laser surgery is an established clinical procedure in dental applications, soft tissue ablation, and ophthalmology. The presented experimental set-up for closed-loop control of laser bone ablation addresses a feedback system and enables safe ablation towards anatomical structures that usually would have high risk of damage. This study is based on combined working volumes of optical coherence tomography (OCT) and Er:YAG cutting laser. High level of automation in fast image data processing and tissue treatment enables reproducible results and shortens the time in the operating room. For registration of the two coordinate systems a cross-like incision is ablated with the Er:YAG laser and segmented with OCT in three distances. The resulting Er:YAG coordinate system is reconstructed. A parameter list defines multiple sets of laser parameters including discrete and specific ablation rates as ablation model. The control algorithm uses this model to plan corrective laser paths for each set of laser parameters and dynamically adapts the distance of the laser focus. With this iterative control cycle consisting of image processing, path planning, ablation, and moistening of tissue the target geometry and desired depth are approximated until no further corrective laser paths can be set. The achieved depth stays within the tolerances of the parameter set with the smallest ablation rate. Specimen trials with fresh porcine bone have been conducted to prove the functionality of the developed concept. Flat bottom surfaces and sharp edges of the outline without visual signs of thermal damage verify the feasibility of automated, OCT controlled laser bone ablation with minimal process time. © SPIE-OSA.

Published
2015
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15. Multimodal imaging of snap-frozen AD human brain tissue

Author

Lochocki, Benjamin, Boon, Baayla D. C., Verheul, Sander R., Zada, Liron, Hoozemans, Jereon J. M., Ariese, Freek, de Boer, Johannes F., Huang, Zhiwei, Lilge, Lothar D., Pathology, VU University medical center, Ophthalmology, Amsterdam Neuroscience - Systems & Network Neuroscience, Biophotonics and Medical Imaging, LaserLaB - Biophotonics and Microscopy, Amsterdam Neuroscience - Brain Imaging, Huang, Zhiwei, and Lilge, Lothar D.

Abstract

Label-free imaging of Alzheimer’s disease (AD) brain tissue could contribute to a better understanding of its pathology. Here, we present a comprehensive study of sequentially applied spectroscopic and imaging modalities on snap-frozen AD tissue.

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17. Wearable sensor system for multipoint measurements of blood perfusion: pilot studies in patients with diabetes mellitus

Author

Elena V. Zharkikh, Ilya E. Rafailov, Sergei G. Sokolovski, Victor V. Sidorov, Yulia I. Loktionova, Edik U. Rafailov, Evgeny Zherebtsov, Andrey V. Dunaev, Angelina I. Zherebtsova, Igor O. Kozlov, Lilge, Lothar D., and Philipp, Carsten M.

Subjects
medicine.medical_specialty, business.industry, Wearable computer, Type 2 Diabetes Mellitus, Blood flow, Laser Doppler velocimetry, medicine.disease, Microcirculation, Internal medicine, Diabetes mellitus, Cardiology, Medicine, In patient, business, Perfusion
Abstract

The growing interest in the development of new wearable electronic devices for mobile healthcare provides great opportunities for the development of methods for assessing blood perfusion in this direction. Laser Doppler flowmetry (LDF) is one of the promising methods. A fine analysis of capillary blood ow structure and rhythm in the time and frequency domains, coupled with a new possibility of round-the-clock monitoring can provide valuable diagnostic information about the state of microvascular blood ow. In this study, wearable implementation of laser Doppler flowmetry was utilised for microcirculatory function assessment in patients with diabetes and healthy controls of two distinct age groups. Four wearable laser Doppler flowmetry monitors were used for the analysis of blood microcirculation. Thirty-seven healthy volunteers and 18 patients with type 2 diabetes mellitus participated in the study. The results of the studies have shown that the average perfusion differs between healthy volunteers of distinct age groups and between healthy volunteers of the younger age group and patients with diabetes mellitus. It was noted that the average level of perfusion measured on the wrist in the two groups of healthy volunteers has no statistically significant differences found in similar measurements on the fingertips. The wearable implementation of LDF can become a truly new diagnostic interface to monitor cardiovascular parameters, which could be of interest for diagnostics of conditions associated with microvascular disorders.

Published
2019

18. Assessment of age-related skin changes using hyperspectral polarization imaging

Author

Evgeny Zherebtsov, Alexander Bykov, Viktor Dremin, Igor Meglinski, Andris Grabovskis, Zbignevs Marcinkevics, Alexey Popov, Lilge, Lothar D., and Philipp, Carsten M.

Subjects
Materials science, Light detection, Pixel, Hyperspectral imaging, Polarization imaging, Polarization (waves), Diabetes mellitus, SDG 3 - Good Health and Well-being, Age related, Polarization, Collagen, sense organs, Residual polarization, Advanced glycation end-products, Biomedical engineering
Abstract

We report a development of hyperspectral polarization imaging approach for assessment of age-related skin changes. The degree of residual polarization is used as a quantitative marker of the age-related pathological malformations. The developed approach in frame of express analysis of the degree of residual polarization in each pixel of the image are shown.

Published
2019
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