REAP: revealing drug tolerant persister cells in cancer using contrast enhanced optical coherence and photoacoustic tomography
Despite chemotherapy, residual tumors often rely on so-called drug tolerant persister (DTP) cells, which evade treatment to give rise to therapy-resistant relapse and refractory disease. Detection of residual tumor cells proves to be challenging because of the rarity and heterogeneity of DTP cells....
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creator | Liu, Mengyang Deloria, Abigail J Haindl, Richard Li, Qian Szakacs, Gergely Csiszar, Agnes Schrittwieser, Stefan Muellner, Paul Hainberger, Rainer Pelaz, Beatriz Polo, Ester Del Pino, Pablo Penttinen, Antti Guina, Mircea Niemi, Tapio Meiburger, Kristen Molinari, Filippo Menhard, Christian Heidelin, Judith Andresen, Volker Geuzebroek, Douwe Drexler, Wolfgang |
description | Despite chemotherapy, residual tumors often rely on so-called drug tolerant persister (DTP) cells, which evade treatment to give rise to therapy-resistant relapse and refractory disease. Detection of residual tumor cells proves to be challenging because of the rarity and heterogeneity of DTP cells. In the framework of a H2020 project, REAP will gather researchers and engineers from six countries, who will combine their expertise in biology, chemistry, oncology, material sciences, photonics, and electrical and biomedical engineering in the hope of revealing DTPs in cancer using contrast enhanced multimodal optical imaging. Laser sources for photoacoustic microscopy, photoacoustic tomography, and optical coherence tomography will be developed to enable the design of a two-photon laser scanning optical coherence photoacoustic microscopy system and an optical coherence photoacoustic tomography system. Furthermore, novel photoacoustic detectors using micro-ring resonator will be designed and fabricated, granting improved sensitivity and easier integration of multiple optical imaging modalities into a single system. Innovative algorithms will be developed to reconstruct and analyze the images quickly and automatically. With successful implementation of this four-year project, we can not only gain insight into the mechanisms governing DTPs, but also significantly advance the technology readiness level of contrast agents, lasers, sensors, and image analysis software through joint efforts. |
doi_str_mv | 10.1088/2515-7647/abf02f |
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Detection of residual tumor cells proves to be challenging because of the rarity and heterogeneity of DTP cells. In the framework of a H2020 project, REAP will gather researchers and engineers from six countries, who will combine their expertise in biology, chemistry, oncology, material sciences, photonics, and electrical and biomedical engineering in the hope of revealing DTPs in cancer using contrast enhanced multimodal optical imaging. Laser sources for photoacoustic microscopy, photoacoustic tomography, and optical coherence tomography will be developed to enable the design of a two-photon laser scanning optical coherence photoacoustic microscopy system and an optical coherence photoacoustic tomography system. Furthermore, novel photoacoustic detectors using micro-ring resonator will be designed and fabricated, granting improved sensitivity and easier integration of multiple optical imaging modalities into a single system. Innovative algorithms will be developed to reconstruct and analyze the images quickly and automatically. With successful implementation of this four-year project, we can not only gain insight into the mechanisms governing DTPs, but also significantly advance the technology readiness level of contrast agents, lasers, sensors, and image analysis software through joint efforts.</description><identifier>ISSN: 2515-7647</identifier><identifier>EISSN: 2515-7647</identifier><identifier>DOI: 10.1088/2515-7647/abf02f</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Algorithms ; Biomedical engineering ; Biomedical materials ; Cancer ; Contrast agents ; Heterogeneity ; Image analysis ; Image contrast ; Image reconstruction ; Laser applications ; Medical imaging ; Microscopy ; Optical Coherence Tomography ; Photoacoustic effect ; Photoacoustic microscopy ; Technology assessment ; Tumors</subject><ispartof>JPhys photonics, 2021-04, Vol.3 (2), p.21001</ispartof><rights>2021. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c313t-d4af7c0c6aeb8fb7a4ba8cf9ef3b104f8c109e822cea0fff91ff2fa05ecb72d23</citedby><cites>FETCH-LOGICAL-c313t-d4af7c0c6aeb8fb7a4ba8cf9ef3b104f8c109e822cea0fff91ff2fa05ecb72d23</cites><orcidid>0000-0001-5807-3331 ; 0000-0002-7302-6135 ; 0000-0002-4626-4576 ; 0000-0002-9317-8187 ; 0000-0002-7604-4136 ; 0000-0002-8862-5966 ; 0000-0001-8870-5280 ; 0000-0003-1318-6839 ; 0000-0003-0380-4971 ; 0000-0002-3557-6398 ; 0000-0003-3471-0986 ; 0000-0002-9311-7827</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,27901,27902</link.rule.ids></links><search><creatorcontrib>Liu, Mengyang</creatorcontrib><creatorcontrib>Deloria, Abigail J</creatorcontrib><creatorcontrib>Haindl, Richard</creatorcontrib><creatorcontrib>Li, Qian</creatorcontrib><creatorcontrib>Szakacs, Gergely</creatorcontrib><creatorcontrib>Csiszar, Agnes</creatorcontrib><creatorcontrib>Schrittwieser, Stefan</creatorcontrib><creatorcontrib>Muellner, Paul</creatorcontrib><creatorcontrib>Hainberger, Rainer</creatorcontrib><creatorcontrib>Pelaz, Beatriz</creatorcontrib><creatorcontrib>Polo, Ester</creatorcontrib><creatorcontrib>Del Pino, Pablo</creatorcontrib><creatorcontrib>Penttinen, Antti</creatorcontrib><creatorcontrib>Guina, Mircea</creatorcontrib><creatorcontrib>Niemi, Tapio</creatorcontrib><creatorcontrib>Meiburger, Kristen</creatorcontrib><creatorcontrib>Molinari, Filippo</creatorcontrib><creatorcontrib>Menhard, Christian</creatorcontrib><creatorcontrib>Heidelin, Judith</creatorcontrib><creatorcontrib>Andresen, Volker</creatorcontrib><creatorcontrib>Geuzebroek, Douwe</creatorcontrib><creatorcontrib>Drexler, Wolfgang</creatorcontrib><title>REAP: revealing drug tolerant persister cells in cancer using contrast enhanced optical coherence and photoacoustic tomography</title><title>JPhys photonics</title><description>Despite chemotherapy, residual tumors often rely on so-called drug tolerant persister (DTP) cells, which evade treatment to give rise to therapy-resistant relapse and refractory disease. Detection of residual tumor cells proves to be challenging because of the rarity and heterogeneity of DTP cells. In the framework of a H2020 project, REAP will gather researchers and engineers from six countries, who will combine their expertise in biology, chemistry, oncology, material sciences, photonics, and electrical and biomedical engineering in the hope of revealing DTPs in cancer using contrast enhanced multimodal optical imaging. Laser sources for photoacoustic microscopy, photoacoustic tomography, and optical coherence tomography will be developed to enable the design of a two-photon laser scanning optical coherence photoacoustic microscopy system and an optical coherence photoacoustic tomography system. Furthermore, novel photoacoustic detectors using micro-ring resonator will be designed and fabricated, granting improved sensitivity and easier integration of multiple optical imaging modalities into a single system. Innovative algorithms will be developed to reconstruct and analyze the images quickly and automatically. With successful implementation of this four-year project, we can not only gain insight into the mechanisms governing DTPs, but also significantly advance the technology readiness level of contrast agents, lasers, sensors, and image analysis software through joint efforts.</description><subject>Algorithms</subject><subject>Biomedical engineering</subject><subject>Biomedical materials</subject><subject>Cancer</subject><subject>Contrast agents</subject><subject>Heterogeneity</subject><subject>Image analysis</subject><subject>Image contrast</subject><subject>Image reconstruction</subject><subject>Laser applications</subject><subject>Medical imaging</subject><subject>Microscopy</subject><subject>Optical Coherence Tomography</subject><subject>Photoacoustic effect</subject><subject>Photoacoustic microscopy</subject><subject>Technology assessment</subject><subject>Tumors</subject><issn>2515-7647</issn><issn>2515-7647</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNkM1LxDAQxYMouOjePQY8103Sdtt6W5b1AxYU0XOYppNtl25Sk1TYi3-7KSviaWbee7yBHyE3nN1xVpYLkfM8KZZZsYBaM6HPyOxPOv-3X5K593vGmCiqjInljHy_bVav99ThF0LfmR1t3LijwfbowAQ6oPOdD-iowr73tDNUgVHxHv2UVtYEBz5QNO2kN9QOoVPQR6dFh1GiYBo6tDZYUHb00Y31B7tzMLTHa3Khofc4_51X5ONh875-SrYvj8_r1TZRKU9D0mSgC8XUErAudV1AVkOpdIU6rTnLdKk4q7AUQiEwrXXFtRYaWI6qLkQj0itye-odnP0c0Qe5t6Mz8aWMcHjOskqkMcVOKeWs9w61HFx3AHeUnMkJ9BTO5URSnkCnP99xdcA</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Liu, Mengyang</creator><creator>Deloria, Abigail J</creator><creator>Haindl, Richard</creator><creator>Li, Qian</creator><creator>Szakacs, Gergely</creator><creator>Csiszar, Agnes</creator><creator>Schrittwieser, Stefan</creator><creator>Muellner, Paul</creator><creator>Hainberger, Rainer</creator><creator>Pelaz, Beatriz</creator><creator>Polo, Ester</creator><creator>Del Pino, Pablo</creator><creator>Penttinen, Antti</creator><creator>Guina, Mircea</creator><creator>Niemi, Tapio</creator><creator>Meiburger, Kristen</creator><creator>Molinari, Filippo</creator><creator>Menhard, Christian</creator><creator>Heidelin, Judith</creator><creator>Andresen, Volker</creator><creator>Geuzebroek, Douwe</creator><creator>Drexler, Wolfgang</creator><general>IOP Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SP</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>M2P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-5807-3331</orcidid><orcidid>https://orcid.org/0000-0002-7302-6135</orcidid><orcidid>https://orcid.org/0000-0002-4626-4576</orcidid><orcidid>https://orcid.org/0000-0002-9317-8187</orcidid><orcidid>https://orcid.org/0000-0002-7604-4136</orcidid><orcidid>https://orcid.org/0000-0002-8862-5966</orcidid><orcidid>https://orcid.org/0000-0001-8870-5280</orcidid><orcidid>https://orcid.org/0000-0003-1318-6839</orcidid><orcidid>https://orcid.org/0000-0003-0380-4971</orcidid><orcidid>https://orcid.org/0000-0002-3557-6398</orcidid><orcidid>https://orcid.org/0000-0003-3471-0986</orcidid><orcidid>https://orcid.org/0000-0002-9311-7827</orcidid></search><sort><creationdate>20210401</creationdate><title>REAP: revealing drug tolerant persister cells in cancer using contrast enhanced optical coherence and photoacoustic tomography</title><author>Liu, Mengyang ; Deloria, Abigail J ; Haindl, Richard ; Li, Qian ; Szakacs, Gergely ; Csiszar, Agnes ; Schrittwieser, Stefan ; Muellner, Paul ; Hainberger, Rainer ; Pelaz, Beatriz ; Polo, Ester ; Del Pino, Pablo ; Penttinen, Antti ; Guina, Mircea ; Niemi, Tapio ; Meiburger, Kristen ; Molinari, Filippo ; Menhard, Christian ; Heidelin, Judith ; Andresen, Volker ; Geuzebroek, Douwe ; Drexler, Wolfgang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c313t-d4af7c0c6aeb8fb7a4ba8cf9ef3b104f8c109e822cea0fff91ff2fa05ecb72d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Biomedical engineering</topic><topic>Biomedical materials</topic><topic>Cancer</topic><topic>Contrast agents</topic><topic>Heterogeneity</topic><topic>Image analysis</topic><topic>Image contrast</topic><topic>Image reconstruction</topic><topic>Laser applications</topic><topic>Medical imaging</topic><topic>Microscopy</topic><topic>Optical Coherence Tomography</topic><topic>Photoacoustic effect</topic><topic>Photoacoustic microscopy</topic><topic>Technology assessment</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Mengyang</creatorcontrib><creatorcontrib>Deloria, Abigail J</creatorcontrib><creatorcontrib>Haindl, Richard</creatorcontrib><creatorcontrib>Li, Qian</creatorcontrib><creatorcontrib>Szakacs, Gergely</creatorcontrib><creatorcontrib>Csiszar, Agnes</creatorcontrib><creatorcontrib>Schrittwieser, Stefan</creatorcontrib><creatorcontrib>Muellner, Paul</creatorcontrib><creatorcontrib>Hainberger, Rainer</creatorcontrib><creatorcontrib>Pelaz, Beatriz</creatorcontrib><creatorcontrib>Polo, Ester</creatorcontrib><creatorcontrib>Del Pino, Pablo</creatorcontrib><creatorcontrib>Penttinen, Antti</creatorcontrib><creatorcontrib>Guina, Mircea</creatorcontrib><creatorcontrib>Niemi, Tapio</creatorcontrib><creatorcontrib>Meiburger, Kristen</creatorcontrib><creatorcontrib>Molinari, Filippo</creatorcontrib><creatorcontrib>Menhard, Christian</creatorcontrib><creatorcontrib>Heidelin, Judith</creatorcontrib><creatorcontrib>Andresen, Volker</creatorcontrib><creatorcontrib>Geuzebroek, Douwe</creatorcontrib><creatorcontrib>Drexler, Wolfgang</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Electronics & Communications Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>JPhys photonics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Mengyang</au><au>Deloria, Abigail J</au><au>Haindl, Richard</au><au>Li, Qian</au><au>Szakacs, Gergely</au><au>Csiszar, Agnes</au><au>Schrittwieser, Stefan</au><au>Muellner, Paul</au><au>Hainberger, Rainer</au><au>Pelaz, Beatriz</au><au>Polo, Ester</au><au>Del Pino, Pablo</au><au>Penttinen, Antti</au><au>Guina, Mircea</au><au>Niemi, Tapio</au><au>Meiburger, Kristen</au><au>Molinari, Filippo</au><au>Menhard, Christian</au><au>Heidelin, Judith</au><au>Andresen, Volker</au><au>Geuzebroek, Douwe</au><au>Drexler, Wolfgang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>REAP: revealing drug tolerant persister cells in cancer using contrast enhanced optical coherence and photoacoustic tomography</atitle><jtitle>JPhys photonics</jtitle><date>2021-04-01</date><risdate>2021</risdate><volume>3</volume><issue>2</issue><spage>21001</spage><pages>21001-</pages><issn>2515-7647</issn><eissn>2515-7647</eissn><abstract>Despite chemotherapy, residual tumors often rely on so-called drug tolerant persister (DTP) cells, which evade treatment to give rise to therapy-resistant relapse and refractory disease. Detection of residual tumor cells proves to be challenging because of the rarity and heterogeneity of DTP cells. In the framework of a H2020 project, REAP will gather researchers and engineers from six countries, who will combine their expertise in biology, chemistry, oncology, material sciences, photonics, and electrical and biomedical engineering in the hope of revealing DTPs in cancer using contrast enhanced multimodal optical imaging. Laser sources for photoacoustic microscopy, photoacoustic tomography, and optical coherence tomography will be developed to enable the design of a two-photon laser scanning optical coherence photoacoustic microscopy system and an optical coherence photoacoustic tomography system. Furthermore, novel photoacoustic detectors using micro-ring resonator will be designed and fabricated, granting improved sensitivity and easier integration of multiple optical imaging modalities into a single system. Innovative algorithms will be developed to reconstruct and analyze the images quickly and automatically. 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subjects | Algorithms Biomedical engineering Biomedical materials Cancer Contrast agents Heterogeneity Image analysis Image contrast Image reconstruction Laser applications Medical imaging Microscopy Optical Coherence Tomography Photoacoustic effect Photoacoustic microscopy Technology assessment Tumors |
title | REAP: revealing drug tolerant persister cells in cancer using contrast enhanced optical coherence and photoacoustic tomography |
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