Search

Your search keyword '"Xu, Chris"' showing total 789 results
Start Over Author "Xu, Chris"
789 results on '"Xu, Chris"'

1. Efficient, broadly-tunable source of megawatt pulses for multiphoton microscopy based on self-phase modulation in argon-filled hollow-core fiber

Author

Eisenberg, Yishai, Wang, Wenchao, Zhao, Shitong, Hebert, Eric S., Chen, Yi-Hao, Ouzounov, Dimitre G., Takahashi, Hazuki, Gruzdeva, Anna, LaViolette, Aaron K., Labaz, Moshe, Sidorenko, Pavel, Antonio-Lopez, Enrique, Amezcua-Correa, Rodrigo, Yapici, Nilay, Xu, Chris, and Wise, Frank

Subjects
Physics - Optics
Abstract

An exciting recent development for deep-tissue imaging with cellular resolution is three-photon fluorescence microscopy (3PM) with excitation at long wavelengths (1300 and 1700 nm). In the last few years, long-wavelength 3PM has driven rapid progress in deep-tissue imaging beyond the depth limit of two-photon microscopy, with impacts in neuroscience, immunology, and cancer biology. However, wide adoption of 3PM faces challenges. Three-photon excitation (3PE) is naturally weaker than two-photon excitation, which places a premium on ultrashort pulses with high peak power. The inefficiency, complexity, and cost of current sources of these pulses present major barriers to the use of 3PM in typical biomedical research labs. Here, we describe a fiber-based source of femtosecond pulses with multi-megawatt peak power, tunable from 850 nm to 1700 nm. Compressed pulses from a fiber amplifier at 1030~nm are launched into an antiresonant hollow-core fiber filled with argon. By varying only the gas pressure, pulses with hundreds of nanojoules of energy and sub-100 fs duration are obtained at wavelengths between 850 and 1700 nm. This approach is a new route to an efficient, robust, and potentially low-cost source for multiphoton deep-tissue imaging. In particular, 960-nJ and 50-fs pulses are generated at 1300 nm with a conversion efficiency of 10\%. The nearly 20-MW peak power is an order of magnitude higher than the previous best from femtosecond fiber source at 1300~nm. As an example of the capabilities of the source, these pulses are used to image structure and neuronal activity in mouse brain as deep as 1.1 mm below the dura., Comment: Supplement appended at end

Published
2024

2. Skelet #17 and the fifth Busy Beaver number

Author

Xu, Chris

Subjects
Mathematics - Combinatorics, Mathematics - Logic
Abstract

We prove nonhalting of the Turing machine dubbed "Skelet #17", known to be one of the toughest 5-state, 2-symbol Turing machines to analyze. Combined with the efforts of The Busy Beaver Challenge, we are therefore able to show that BB(5), the fifth Busy Beaver number, equals 47,176,870., Comment: added more references, fixed a broken link, and streamlined Proposition 3.4

Published
2024

5. Updates on radiotherapy-immunotherapy combinations: Proceedings of 6th annual ImmunoRad conference.

Author

Gregucci, Fabiana, Spada, Sheila, Barcellos-Hoff, Mary Helen, Bhardwaj, Nina, Chan Wah Hak, Charleen, Fiorentino, Alba, Guha, Chandan, Guzman, Monica L, Harrington, Kevin, Herrera, Fernanda G, Honeychurch, Jamie, Hong, Theodore, Iturri, Lorea, Jaffee, Elisabeth, Karam, Sana D, Knott, Simon RV, Koumenis, Constantinos, Lyden, David, Marciscano, Ariel E, Melcher, Alan, Mondini, Michele, Mondino, Anna, Morris, Zachary S, Pitroda, Sean, Quezada, Sergio A, Santambrogio, Laura, Shiao, Stephen, Stagg, John, Telarovic, Irma, Timmerman, Robert, Vozenin, Marie-Catherine, Weichselbaum, Ralph, Welsh, James, Wilkins, Anna, Xu, Chris, Zappasodi, Roberta, Zou, Weiping, Bobard, Alexandre, Demaria, Sandra, Galluzzi, Lorenzo, Deutsch, Eric, and Formenti, Silvia C

Subjects
Humans, Neoplasms, Immunotherapy, Combined Modality Therapy, FLASH radiotherapy, dose and fractionation, immune checkpoint inhibitors, immunomodulators, lymph node sparing, tumor-associated macrophages, Immunization, Cancer, Vaccine Related, Immunology, Oncology and Carcinogenesis
Abstract

Focal radiation therapy (RT) has attracted considerable attention as a combinatorial partner for immunotherapy (IT), largely reflecting a well-defined, predictable safety profile and at least some potential for immunostimulation. However, only a few RT-IT combinations have been tested successfully in patients with cancer, highlighting the urgent need for an improved understanding of the interaction between RT and IT in both preclinical and clinical scenarios. Every year since 2016, ImmunoRad gathers experts working at the interface between RT and IT to provide a forum for education and discussion, with the ultimate goal of fostering progress in the field at both preclinical and clinical levels. Here, we summarize the key concepts and findings presented at the Sixth Annual ImmunoRad conference.

Published
2023

7. Roadmap on Wavefront Shaping and deep imaging in complex media

Author

Gigan, Sylvain, Katz, Ori, de Aguiar, Hilton B., Andresen, Esben Ravn, Aubry, Alexandre, Bertolotti, Jacopo, Bossy, Emmanuel, Bouchet, Dorian, Brake, Joshua, Brasselet, Sophie, Bromberg, Yaron, Cao, Hui, Chaigne, Thomas, Cheng, Zhongtao, Choi, Wonshik, Čižmár, Tomáš, Cui, Meng, Curtis, Vincent R, Defienne, Hugo, Hofer, Matthias, Horisaki, Ryoichi, Horstmeyer, Roarke, Ji, Na, LaViolette, Aaron K., Mertz, Jerome, Moser, Christophe, Mosk, Allard P., Pégard, Nicolas C., Piestun, Rafael, Popoff, Sebastien, Phillips, David B., Psaltis, Demetri, Rahmani, Babak, Rigneault, Hervé, Rotter, Stefan, Tian, Lei, Vellekoop, Ivo M., Waller, Laura, Wang, Lihong, Weber, Timothy, Xiao, Sheng, Xu, Chris, Yamilov, Alexey, Yang, Changhuei, and Yılmaz, Hasan

Subjects
Physics - Optics, Physics - Biological Physics
Abstract

The last decade has seen the development of a wide set of tools, such as wavefront shaping, computational or fundamental methods, that allow to understand and control light propagation in a complex medium, such as biological tissues or multimode fibers. A vibrant and diverse community is now working on this field, that has revolutionized the prospect of diffraction-limited imaging at depth in tissues. This roadmap highlights several key aspects of this fast developing field, and some of the challenges and opportunities ahead., Comment: submitted to J.Phys Photonics (IOP), 116 pages, 23 sections

Published
2021
Full Text
View/download PDF

9. Neurophotonic tools for microscopic measurements and manipulation: status report

Author

Abdelfattah, Ahmed S, Ahuja, Sapna, Akkin, Taner, Allu, Srinivasa Rao, Brake, Joshua, Boas, David A, Buckley, Erin M, Campbell, Robert E, Chen, Anderson I, Cheng, Xiaojun, Čižmár, Tomáš, Costantini, Irene, De Vittorio, Massimo, Devor, Anna, Doran, Patrick R, Khatib, Mirna El, Emiliani, Valentina, Fomin-Thunemann, Natalie, Fainman, Yeshaiahu, Fernandez-Alfonso, Tomas, Ferri, Christopher GL, Gilad, Ariel, Han, Xue, Harris, Andrew, Hillman, Elizabeth MC, Hochgeschwender, Ute, Holt, Matthew G, Ji, Na, Kılıç, Kıvılcım, Lake, Evelyn MR, Li, Lei, Li, Tianqi, Mächler, Philipp, Miller, Evan W, Mesquita, Rickson C, Nadella, KM Naga Srinivas, Nägerl, U Valentin, Nasu, Yusuke, Nimmerjahn, Axel, Ondráčková, Petra, Pavone, Francesco S, Campos, Citlali Perez, Peterka, Darcy S, Pisano, Filippo, Pisanello, Ferruccio, Puppo, Francesca, Sabatini, Bernardo L, Sadegh, Sanaz, Sakadzic, Sava, Shoham, Shy, Shroff, Sanaya N, Silver, R Angus, Sims, Ruth R, Smith, Spencer L, Srinivasan, Vivek J, Thunemann, Martin, Tian, Lei, Tian, Lin, Troxler, Thomas, Valera, Antoine, Vaziri, Alipasha, Vinogradov, Sergei A, Vitale, Flavia, Wang, Lihong V, Uhlířová, Hana, Xu, Chris, Yang, Changhuei, Yang, Mu-Han, Yellen, Gary, Yizhar, Ofer, and Zhao, Yongxin

Subjects
Engineering, Biomedical and Clinical Sciences, Neurosciences, Biomedical Engineering, 1.1 Normal biological development and functioning, Underpinning research, Neurological, optical imaging, molecular sensors, optogenetics, fluorescence, label free, blood flow, multimodal, Medical Biotechnology, Biomedical engineering
Abstract

Neurophotonics was launched in 2014 coinciding with the launch of the BRAIN Initiative focused on development of technologies for advancement of neuroscience. For the last seven years, Neurophotonics' agenda has been well aligned with this focus on neurotechnologies featuring new optical methods and tools applicable to brain studies. While the BRAIN Initiative 2.0 is pivoting towards applications of these novel tools in the quest to understand the brain, this status report reviews an extensive and diverse toolkit of novel methods to explore brain function that have emerged from the BRAIN Initiative and related large-scale efforts for measurement and manipulation of brain structure and function. Here, we focus on neurophotonic tools mostly applicable to animal studies. A companion report, scheduled to appear later this year, will cover diffuse optical imaging methods applicable to noninvasive human studies. For each domain, we outline the current state-of-the-art of the respective technologies, identify the areas where innovation is needed, and provide an outlook for the future directions.

Published
2022

10. Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy

Author

Wang, Alan Q., LaViolette, Aaron K., Moon, Leo, Xu, Chris, and Sabuncu, Mert R.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Compressed sensing fluorescence microscopy (CS-FM) proposes a scheme whereby less measurements are collected during sensing and reconstruction is performed to recover the image. Much work has gone into optimizing the sensing and reconstruction portions separately. We propose a method of jointly optimizing both sensing and reconstruction end-to-end under a total measurement constraint, enabling learning of the optimal sensing scheme concurrently with the parameters of a neural network-based reconstruction network. We train our model on a rich dataset of confocal, two-photon, and wide-field microscopy images comprising of a variety of biological samples. We show that our method outperforms several baseline sensing schemes and a regularized regression reconstruction algorithm., Comment: Accepted at MICCAI 2021

Published
2021

16. Microscopic sensors using optical wireless integrated circuits

Author

Cortese, Alejandro J., Smart, Conrad L., Wang, Tianyu, Reynolds, Michael F., Norris, Samantha L., Ji, Yanxin, Lee, Sunwoo, Mok, Aaron, Wu, Chunyan, Xia, Fei, Ellis, Nathan I., Molnar, Alyosha C., Xu, Chris, and McEuen, Paul L.

Published
2020

17. Contributors

Author

Andersen, Ulrik Lund, primary, Brinkmann, Maximilian, additional, Brunton, Valerie G., additional, Cerullo, Giulio, additional, Chen, Tao, additional, Chen, Xueli, additional, Cheng, Ji-Xin, additional, Cheng, Qian, additional, Chiarparin, Elisabetta, additional, Dastagirzada, Yosef, additional, de Aguiar, Hilton B., additional, de Andrade, Rayssa Bruzaca, additional, Deng, Dinghuan, additional, Dong, Pu-Ting, additional, Du, Jiajun, additional, Fallnich, Carsten, additional, Figueroa, Benjamin, additional, Fu, Dan, additional, Fujita, Katsumasa, additional, Gehring, Tobias, additional, Gong, Li, additional, Hellwig, Tim, additional, Hong, Weili, additional, Huang, Zhiliang, additional, Huang, Zhiwei, additional, Hulme, Alison N., additional, Ji, Minbiao, additional, Jin, Qingqing, additional, Karuna, Arnica, additional, Kieu, Khanh, additional, Lee, Dongkwan, additional, Lee, Hyeon Jeong, additional, Li, Yajuan, additional, Liang, Rongguang, additional, Liao, Chien-Sheng, additional, Lin, Haonan, additional, Lin, Peng, additional, Manifold, Bryce, additional, Meyer, Tobias, additional, Miao, Yupeng, additional, Min, Wei, additional, Moskalik, Anzhela, additional, Ni, Hongli, additional, Oron, Dan, additional, Orringer, Daniel, additional, Ozeki, Yasuyuki, additional, Polli, Dario, additional, Popp, Jürgen, additional, Potma, Eric O., additional, Prince, Richard C., additional, Qian, Naixin, additional, Raanan, Dekel, additional, Rigneault, Hervé, additional, Schmitt, Michael, additional, Shi, Lingyan, additional, Slipchenko, Mikhail N., additional, Soffer, Yahel, additional, Steven, Craig F., additional, Tang, Xinjing, additional, Wang, Haomin, additional, Wang, Jing, additional, Wang, Ke, additional, Wang, Lin, additional, Wang, Meng C., additional, Wang, Nan, additional, Wang, Ping, additional, Wei, Lu, additional, Xiong, Hanqing, additional, Xu, Chris, additional, Yamakoshi, Hiroyuki, additional, Yang, Chen, additional, Yang, Wenlong, additional, Yang, Yuan, additional, Yue, Shuhua, additional, Zhang, Chi, additional, Zhang, Delong, additional, Zhang, Meng, additional, Zhang, Ruiwen, additional, Zheng, Wei, additional, Zhu, Hanlin, additional, and Zong, Cheng, additional

Published
2022
Full Text
View/download PDF

21. Erythrocytes Are Oxygen-Sensing Regulators of the Cerebral Microcirculation

Author

Wei, Helen Shinru, Kang, Hongyi, Rasheed, Izad-Yar Daniel, Zhou, Sitong, Lou, Nanhong, Gershteyn, Anna, McConnell, Evan Daniel, Wang, Yixuan, Richardson, Kristopher Emil, Palmer, Andre Francis, Xu, Chris, Wan, Jiandi, and Nedergaard, Maiken

Subjects
Neurosciences, 1.1 Normal biological development and functioning, Underpinning research, Neurological, Animals, Brain, Erythrocytes, Hyperemia, Mice, Microcirculation, Oxygen, Psychology, Cognitive Sciences, Neurology & Neurosurgery
Abstract

Energy production in the brain depends almost exclusively on oxidative metabolism. Neurons have small energy reserves and require a continuous supply of oxygen (O2). It is therefore not surprising that one of the hallmarks of normal brain function is the tight coupling between cerebral blood flow and neuronal activity. Since capillaries are embedded in the O2-consuming neuropil, we have here examined whether activity-dependent dips in O2 tension drive capillary hyperemia. In vivo analyses showed that transient dips in tissue O2 tension elicit capillary hyperemia. Ex vivo experiments revealed that red blood cells (RBCs) themselves act as O2 sensors that autonomously regulate their own deformability and thereby flow velocity through capillaries in response to physiological decreases in O2 tension. This observation has broad implications for understanding how local changes in blood flow are coupled to synaptic transmission.

Published
2016

30. Q factor in numerical simulations of DPSK with optical delay demodulation

Author

Wei, Xing, Liu, Xiang, and Xu, Chris

Subjects
Physics - Optics
Abstract

A simple model is used to estimate the Q factor in numerical simulations of differential phase shift keying (DPSK) with optical delay demodulation and balanced detection. It is found that an alternative definition of Q is needed for DPSK in order to have a more accurate prediction of the bit error ratio (BER)., Comment: This is a manuscript that was rejected by IEEE Photonics Technology Letters in 2002 (Manucript #9527)

Published
2003

35. Design of Organic Molecules with Large Two-Photon Absorption Cross Sections

Author

Albota, Marius, Beljonne, David, Brédas, Jean-Luc, Ehrlich, Jeffrey E., Fu, Jia-Ying, Heikal, Ahmed A., Hess, Samuel E., Kogej, Thierry, Levin, Michael D., Marder, Seth R., McCord-Maughon, Dianne, Perry, Joseph W., Röckel, Harald, Rumi, Mariacristina, Subramaniam, Girija, Webb, Watt W., Wu, Xiang-Li, and Xu, Chris

Published
1998

38. Data from Multiphoton Tomographic Imaging: A Potential Optical Biopsy Tool for Detecting Gastrointestinal Inflammation and Neoplasia

Author

Makino, Tomoki, primary, Jain, Manu, primary, Montrose, David C., primary, Aggarwal, Amit, primary, Sterling, Joshua, primary, Bosworth, Brian P., primary, Milsom, Jeffrey W., primary, Robinson, Brian D., primary, Shevchuk, Maria M., primary, Kawaguchi, Kathy, primary, Zhang, Ning, primary, Brown, Christopher M., primary, Rivera, David R., primary, Williams, Wendy O., primary, Xu, Chris, primary, Dannenberg, Andrew J., primary, and Mukherjee, Sushmita, primary

Published
2023
Full Text
View/download PDF

39. Supplementary Figures 1-3 from Multiphoton Tomographic Imaging: A Potential Optical Biopsy Tool for Detecting Gastrointestinal Inflammation and Neoplasia

Author

Makino, Tomoki, primary, Jain, Manu, primary, Montrose, David C., primary, Aggarwal, Amit, primary, Sterling, Joshua, primary, Bosworth, Brian P., primary, Milsom, Jeffrey W., primary, Robinson, Brian D., primary, Shevchuk, Maria M., primary, Kawaguchi, Kathy, primary, Zhang, Ning, primary, Brown, Christopher M., primary, Rivera, David R., primary, Williams, Wendy O., primary, Xu, Chris, primary, Dannenberg, Andrew J., primary, and Mukherjee, Sushmita, primary

Published
2023
Full Text
View/download PDF

40. Supplementary Video 1 from Multiphoton Tomographic Imaging: A Potential Optical Biopsy Tool for Detecting Gastrointestinal Inflammation and Neoplasia

Author

Makino, Tomoki, primary, Jain, Manu, primary, Montrose, David C., primary, Aggarwal, Amit, primary, Sterling, Joshua, primary, Bosworth, Brian P., primary, Milsom, Jeffrey W., primary, Robinson, Brian D., primary, Shevchuk, Maria M., primary, Kawaguchi, Kathy, primary, Zhang, Ning, primary, Brown, Christopher M., primary, Rivera, David R., primary, Williams, Wendy O., primary, Xu, Chris, primary, Dannenberg, Andrew J., primary, and Mukherjee, Sushmita, primary

Published
2023
Full Text
View/download PDF

41. Supplementary Legends for Figures and Video from Multiphoton Tomographic Imaging: A Potential Optical Biopsy Tool for Detecting Gastrointestinal Inflammation and Neoplasia

Author

Makino, Tomoki, primary, Jain, Manu, primary, Montrose, David C., primary, Aggarwal, Amit, primary, Sterling, Joshua, primary, Bosworth, Brian P., primary, Milsom, Jeffrey W., primary, Robinson, Brian D., primary, Shevchuk, Maria M., primary, Kawaguchi, Kathy, primary, Zhang, Ning, primary, Brown, Christopher M., primary, Rivera, David R., primary, Williams, Wendy O., primary, Xu, Chris, primary, Dannenberg, Andrew J., primary, and Mukherjee, Sushmita, primary

Published
2023
Full Text
View/download PDF

49. Roadmap on wavefront shaping and deep imaging in complex media

Author

Gigan, Sylvain, Katz, Ori, De Aguiar, Hilton B., Andresen, Esben Ravn, Aubry, Alexandre, Bertolotti, Jacopo, Bossy, Emmanuel, Bouchet, Dorian, Brake, Joshua, Brasselet, Sophie, Bromberg, Yaron, Cao, Hui, Chaigne, Thomas, Cheng, Zhongtao, Choi, Wonshik, Čižmár, Tomáš, Cui, Meng, Curtis, Vincent R., Defienne, Hugo, Hofer, Matthias, Horisaki, Ryoichi, Horstmeyer, Roarke, Ji, Na, LaViolette, Aaron K., Mertz, Jerome, Moser, Christophe, Mosk, Allard P., Pégard, Nicolas C., Piestun, Rafael, Popoff, Sebastien, Phillips, David B., Psaltis, Demetri, Rahmani, Babak, Rigneault, Hervé, Rotter, Stefan, Tian, Lei, Vellekoop, Ivo M., Waller, Laura, Wang, Lihong, Weber, Timothy, Xiao, Sheng, Xu, Chris, Yamilov, Alexey, Yang, Changhuei, Yılmaz, Hasan, Afd Nanophotonics, Sub Nanophotonics, Nanophotonics, Laboratoire Kastler Brossel (LKB (Jussieu)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), The Hebrew University of Jerusalem (HUJ), Laboratoire de Physique des Lasers, Atomes et Molécules - UMR 8523 (PhLAM), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut Langevin - Ondes et Images (UMR7587) (IL), Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), School of Physics and Astronomy [Exeter], University of Exeter, Laboratoire Interdisciplinaire de Physique [Saint Martin d’Hères] (LIPhy ), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Harvey Mudd College, Institut FRESNEL (FRESNEL), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Boston University [Boston] (BU), Cornell University [New York], Missouri University of Science and Technology (Missouri S&T), University of Missouri System, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, USA, Institute of Materials Science and Nanotechnology, National Nanotechnology Research Center (UNAM), Bilkent University, Ankara, 06800, Turkey, Laboratoire Kastler Brossel (LKB (Lhomond)), Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Yale University [New Haven], California Institute of Technology (CALTECH), Korea University [Seoul], Leibniz Institute of Photonic Technology (IPHT), Leibniz Association, Institute of Scientific Instruments of the Czech Academy of Sciences, Purdue University [West Lafayette], University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), SUPA School of Physics and Astronomy [Glasgow], University of Glasgow, The University of Tokyo (UTokyo), Duke University [Durham], University of California [Berkeley] (UC Berkeley), University of California (UC), Department of Biomedical Engineering [Boston], Ecole Polytechnique Fédérale de Lausanne (EPFL), Utrecht University [Utrecht], University of Colorado [Boulder], Vienna University of Technology (TU Wien), Department of Electrical and Computer Engineering [Boston University] (ECE), University of Twente, Department of Electrical Engineering and Computer Sciences (Berkeley EECS), Institute of Material Science and Nanotechnology and National Nanotechnology Research Center [Bilkent university] (UNAM), Bilkent University [Ankara], Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU), University of California [Berkeley], University of California, University of Twente [Netherlands], Yılmaz, Hasan, Afd Nanophotonics, Sub Nanophotonics, and Nanophotonics

Subjects
lensless endoscope, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, speckle-correlation, FOS: Physical sciences, real-time, wavefront shaping, Imaging, multimode fibers, adaptive optics, Scattering, Atomic and Molecular Physics, Electronic, Physics - Biological Physics, Optical and Magnetic Materials, mesoscopic physics, Electrical and Electronic Engineering, focusing light, [PHYS]Physics [physics], Microscopy, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], scattering, imaging, phase-conjugation, Multimode fibers, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Biological Physics (physics.bio-ph), thick tissue, Mesoscopic physics, field-of-view, Wavefront shaping, microscopy, learning approach, and Optics, Adaptive optics, scattering media, Optics (physics.optics), Physics - Optics
Abstract

The last decade has seen the development of a wide set of tools, such as wavefront shaping, computational or fundamental methods, that allow to understand and control light propagation in a complex medium, such as biological tissues or multimode fibers. A vibrant and diverse community is now working on this field, that has revolutionized the prospect of diffraction-limited imaging at depth in tissues. This roadmap highlights several key aspects of this fast developing field, and some of the challenges and opportunities ahead., submitted to J.Phys Photonics (IOP), 116 pages, 23 sections

Published
2022

Catalog

Books, media, physical & digital resources
See catalog results