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    <completedYear>2022</completedYear>
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    <language>deu</language>
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    <title language="deu">Entwicklung eines neuronalen Netzwerks als Basis zur automatisierten Holzartenerkennung</title>
    <abstract language="deu">Holz ist ein vielseitig einsetzbarer nachwachsender Rohstoff. Neben seinem wirtschaftlichen Nutzen ist er für den Erhalt des Klimas unersetzlich. Eine sortenreine Sortierung für die Weiterverarbeitung von Altholz spielt für einen ressourcenschonenden Umgang eine wichtige Rolle. Um das Potenzial eines neuronalen Netzwerks basierend auf Messdaten der bildgebenden Fluoreszenzabklingzeitmessung für die Altholzsortierung aufzuzeigen, wurden zwei unterschiedliche Klassifikationsansätze auf Basis der Programmiersprache Python gewählt. Die Ergebnisse zeigen, dass die bildbasierte Klassifizierung der Holzart mit einer Genauigkeit von 47,36 % noch ausbaufähig ist. Eine datenbasierte Klassifizierung der Holzart mit einer Identifikationsgenauigkeit von 98,28 % ist dagegen vielversprechend.</abstract>
    <parentTitle language="deu">Tagungsband AALE 2022, 18. AALE-Konferenz. Pforzheim, 09.03.-11.03.2022</parentTitle>
    <identifier type="doi">https://doi.org/10.33968/2022.11</identifier>
    <author>Anton Bernöcker</author>
    <author>Nina Leiter</author>
    <author>Maximilian Wohlschläger</author>
    <author>Martin Versen</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>FD-FLIM</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Fluoreszenz</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Fluoreszenzabklingzeit</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Holzart</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Neuronales Netz</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Klassifizierung</value>
    </subject>
    <collection role="institutes" number="">Fakultät für Ingenieurwissenschaften</collection>
  </doc>
  <doc>
    <id>1918</id>
    <completedYear>2022</completedYear>
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    <language>eng</language>
    <pageFirst>ETu3H.3</pageFirst>
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    <title language="eng">Optical identification of car tire particles on soil using fluorescence lifetime imaging microscopy</title>
    <abstract language="eng">Tire wear is one of the major contributors of environmental pollution by microplastic. FD-FLIM in combination with an image processing algorithm are successfully applied to detect tyre wear on soil.</abstract>
    <parentTitle language="eng">Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES), Technical Digest Series (Optica Publishing Group, 2022)</parentTitle>
    <identifier type="doi">10.1364/ES.2022.ETu3H.3</identifier>
    <enrichment key="opus.import.data">@inproceedingsWohlschlager:22, author = Maximilian Wohlschläger and Martin Versen and Christian Laforsch, booktitle = Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES), journal = Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES), keywords = Diode lasers; Fluorescence lifetime imaging; Image processing; Image processing algorithms; Phase modulation; Phase shift, pages = ETu3H.3, publisher = Optica Publishing Group, title = Optical identification of car tire particles on soil using fluorescence lifetime imaging microscopy, year = 2022, url = https://opg.optica.org/abstract.cfm?URI=ES-2022-ETu3H.3, doi = 10.1364/ES.2022.ETu3H.3, abstract = Tire wear is one of the major contributors of environmental pollution by microplastic. FD-FLIM in combination with an image processing algorithm are successfully applied to detect tyre wear on soil.,</enrichment>
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    <author>Maximilian Wohlschläger</author>
    <author>Martin Versen</author>
    <author>Christian Laforsch</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Diode lasers</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fluorescence lifetime imaging</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Image processing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Image processing algorithms</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Phase modulation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Phase shift</value>
    </subject>
    <collection role="institutes" number="">Fakultät für Ingenieurwissenschaften</collection>
  </doc>
  <doc>
    <id>1922</id>
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    <language>eng</language>
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    <title language="eng">Frequency-domain fluorescence lifetime imaging as method to analyze wood structures</title>
    <parentTitle language="eng">2022 Conference on Lasers and Electro-Optics (CLEO)</parentTitle>
    <enrichment key="opus.import.data">@INPROCEEDINGS9891078, author=Leiter, Nina and Wohlschläger, Maximilian and Versen, Martin, booktitle=2022 Conference on Lasers and Electro-Optics (CLEO), title=Frequency-domain fluorescence lifetime imaging as method to analyze wood structures, year=2022, volume=, number=, pages=1-2, doi=</enrichment>
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    <author>Nina Leiter</author>
    <author>Maximilian Wohlschläger</author>
    <author>Martin Versen</author>
    <collection role="institutes" number="">Fakultät für Ingenieurwissenschaften</collection>
  </doc>
  <doc>
    <id>1925</id>
    <completedYear>2022</completedYear>
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    <language>eng</language>
    <pageFirst>129</pageFirst>
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    <title language="eng">An algorithmic method for the identification of wood species and the classification of post-consumer wood using fluorescence lifetime imaging microscopy</title>
    <abstract language="eng">In this contribution the frequency domain fluorescence lifetime imaging microscopy (FD-FLIM) technique is evaluated for post-consumer wood sorting. The fluorescence characteristics of several wood samples were determined, whereby two excitation wavelengths (405 and 488 nm) were used. The measured data were processed using algorithmic methods to identify the wood species and post-consumer wood category. With the excitation wavelength of 405 nm, 16 out of 19 samples could be correctly assigned to the corresponding post-consumer wood category by means of the fluorescence lifetimes. Thus, the experimental results revealed the high potential of the FD-FLIM technique for automated post-consumer wood sorting.</abstract>
    <parentTitle language="eng">Journal of Sensors and Sensor Systems</parentTitle>
    <identifier type="doi">10.5194/jsss-11-129-2022</identifier>
    <enrichment key="opus.import.data">@Articlejsss-11-129-2022, AUTHOR = Leiter, N. and Wohlschläger, M. and Versen, M. and Laforsch, C., TITLE = An algorithmic method for the identification of wood species and the classification of post-consumer wood using fluorescence lifetime imaging microscopy, JOURNAL = Journal of Sensors and Sensor Systems, VOLUME = 11, YEAR = 2022, NUMBER = 1, PAGES = 129–136, URL = https://jsss.copernicus.org/articles/11/129/2022/, DOI = 10.5194/jsss-11-129-2022</enrichment>
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    <author>Nina Leiter</author>
    <author>Maximilian Wohlschläger</author>
    <author>Martin Versen</author>
    <author>Christian Laforsch</author>
    <collection role="institutes" number="">Fakultät für Ingenieurwissenschaften</collection>
  </doc>
  <doc>
    <id>1930</id>
    <completedYear>2022</completedYear>
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    <language>eng</language>
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    <title language="eng">Investigation of the Impact of CaCO3 Concentrations on the Fluorescence Lifetime of Polypropylene</title>
    <abstract language="eng">The impact of fillers on the fluorescence lifetime of polymers is still unknown. Investigating polypropylene containing different CaCO 3 concentrations using FD-FLIM show an exponential increase in fluorescence lifetime proportional to the CaCO 3 density in polypropylene.</abstract>
    <parentTitle language="eng">2022 Conference on Lasers and Electro-Optics (CLEO)</parentTitle>
    <enrichment key="opus.import.data">@INPROCEEDINGS9890624, author=Wohlschläger, Maximilian and Versen, Martin and Laforsch, Christian, booktitle=2022 Conference on Lasers and Electro-Optics (CLEO), title=Investigation of the Impact of CaCO3 Concentrations on the Fluorescence Lifetime of Polypropylene, year=2022, volume=, number=, pages=1-2, doi=</enrichment>
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    <enrichment key="opus.import.date">2022-11-11T09:45:32+00:00</enrichment>
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    <author>Maximilian Wohlschläger</author>
    <author>Martin Versen</author>
    <author>Christian Laforsch</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fluorescence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Lasers and electrooptics</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Plastics</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Electrooptical waveguides</value>
    </subject>
    <collection role="institutes" number="">Fakultät für Ingenieurwissenschaften</collection>
  </doc>
  <doc>
    <id>2041</id>
    <completedYear>2022</completedYear>
    <publishedYear/>
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    <language>eng</language>
    <pageFirst>JW3A.19</pageFirst>
    <pageLast/>
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    <creatingCorporation>Technical Digest Series (Optica Publishing Group, 2022)</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Frequency-domain fluorescence lifetime imaging as method to analyze wood structures</title>
    <abstract language="eng">The analysis of wood structures using FD-FLIM seems promising for the identification of wood at 488 nm, as lignin has a high impact on the fluorescence lifetime.</abstract>
    <parentTitle language="eng">Conference on Lasers and Electro-Optics</parentTitle>
    <identifier type="doi">10.1364/CLEO_AT.2022.JW3A.19</identifier>
    <enrichment key="opus.import.data">@inproceedingsLeiter:22, author = Nina Leiter and Maximilian Wohlschläger and Martin Versen, booktitle = Conference on Lasers and Electro-Optics, journal = Conference on Lasers and Electro-Optics, keywords = Diode lasers; Fluorescence; Fluorescence lifetime imaging; Microscopy, pages = JW3A.19, publisher = Optica Publishing Group, title = Frequency-domain fluorescence lifetime imaging as method to analyze wood structures, year = 2022, url = https://opg.optica.org/abstract.cfm?URI=CLEO_AT-2022-JW3A.19, doi = 10.1364/CLEO_AT.2022.JW3A.19, abstract = The analysis of wood structures using FD-FLIM seems promising for the identification of wood at 488 nm, as lignin has a high impact on the fluorescence lifetime.,</enrichment>
    <enrichment key="opus.import.dataHash">md5:87798dffa47036d7928b1d1bddf5a202</enrichment>
    <enrichment key="opus.import.date">2023-02-28T07:20:05+00:00</enrichment>
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    <author>Nina Leiter</author>
    <author>Maximilian Wohlschläger</author>
    <author>Martin Versen</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Diode lasers</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fluorescence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fluorescence lifetime imaging</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Microscopy</value>
    </subject>
  </doc>
  <doc>
    <id>2042</id>
    <completedYear>2022</completedYear>
    <publishedYear/>
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    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>6</pageLast>
    <pageNumber>6</pageNumber>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Development of a neural network to identify plastics using Fluorescence Lifetime Imaging Microscopy</title>
    <abstract language="eng">Plastics have become a major part of human’s daily life. An uncontrolled usage of plastic leads to an accumulation in the environment posing a threat to flora and fauna, if not recycled correctly. The correct sorting and recycling of the most commonly available plastic types and an identification of plastic in the environment are important. Fluorescence lifetime imaging microscopy shows a high potential in sorting and identifying plastic types. A data-based and an image-based classification are investigated using python programming language to demonstrate the potential of a neural network based on fluorescence lifetime images to identify plastic types. The results indicate that the data-based classification has a higher identification accuracy compared to the image-based classification.</abstract>
    <parentTitle language="eng">2022 IEEE Sensors Applications Symposium (SAS)</parentTitle>
    <identifier type="doi">10.1109/SAS54819.2022.9881372</identifier>
    <enrichment key="opus.import.data">@INPROCEEDINGS9881372, author=Maniyattu, Georgekutty Jose and Geegy, Eldho and Leiter, Nina and Wohlschläger, Maximilian and Versen, Martin and Laforsch, Christian, booktitle=2022 IEEE Sensors Applications Symposium (SAS), title=Development of a neural network to identify plastics using Fluorescence Lifetime Imaging Microscopy, year=2022, volume=, number=, pages=1-6, doi=10.1109/SAS54819.2022.9881372</enrichment>
    <enrichment key="opus.import.dataHash">md5:b9e13c9ec9e953e91d5d54f70e9fb9a3</enrichment>
    <enrichment key="opus.import.date">2023-02-28T07:21:04+00:00</enrichment>
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    <author>Georgekutty Jose Maniyattu</author>
    <author>Eldho Geegy</author>
    <author>Nina Leiter</author>
    <author>Maximilian Wohlschläger</author>
    <author>Martin Versen</author>
    <author>Christian Laforsch</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>fluorescence lifetime imaging</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>FLIM</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>neural networks</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>plastic identification</value>
    </subject>
  </doc>
  <doc>
    <id>2039</id>
    <completedYear>2022</completedYear>
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    <language>deu</language>
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    <creatingCorporation>Hochschule für Technik, Wirtschaft und Kultur Leipzig</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Entwicklung eines neuronalen Netzwerks als Basis zur automatisierten Holzartenerkennung</title>
    <abstract language="deu">Holz ist ein vielseitig einsetzbarer nachwachsender Rohstoff. Neben seinem wirtschaftlichen Nutzen ist er für den Erhalt des Klimas unersetzlich. Eine sortenreine Sortierung für die Weiterverarbeitung von Altholz spielt für einen ressourcenschonenden Umgang eine wichtige Rolle. Um das Potenzial eines neuronalen Netzwerks basierend auf Messdaten der bildgebenden Fluoreszenzabklingzeitmessung für die Altholzsortierung aufzuzeigen, wurden zwei unterschiedliche Klassifikationsansätze auf Basis der Programmiersprache Python gewählt. Die Ergebnisse zeigen, dass die bildbasierte Klassifizierung der Holzart mit einer Genauigkeit von 47,36 % noch ausbaufähig ist. Eine datenbasierte Klassifizierung der Holzart mit einer Identifikationsgenauigkeit von 98,28 % ist dagegen vielversprechend.</abstract>
    <parentTitle language="deu">18. AALE-Konferenz. Pforzheim, 09.03.-11.03.2022</parentTitle>
    <identifier type="doi">10.33968/2022.11</identifier>
    <enrichment key="opus.import.data">@inproceedingsBernocker.09.03.11.03.2022, author = Bernöcker, Anton and Leiter, Nina and Wohlschläger, Maximilian and Versen, Martin, title = Entwicklung eines neuronalen Netzwerks als Basis zur automatisierten Holzartenerkennung, publisher = Hochschule für Technik, Wirtschaft und Kultur Leipzig, isbn = 9783910103009, booktitle = Wissenstransfer im Spannungsfeld von Autonomisierung und Fachkräftemangel, year = 09.03.-11.03.2022, doi = 10.33968/2022.11</enrichment>
    <enrichment key="opus.import.dataHash">md5:23892c0a8bc3f41097af5d15e64bf3b9</enrichment>
    <enrichment key="opus.import.date">2023-02-28T07:19:38+00:00</enrichment>
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    <enrichment key="opus.import.id">63fdab0a03e2e5.20279389</enrichment>
    <author>Anton Bernöcker</author>
    <author>Nina Leiter</author>
    <author>Maximilian Wohlschläger</author>
    <author>Martin Versen</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>FD-FLIM</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Fluoreszenz</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Fluoreszenzabklingzeit</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Holzart</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Neuronales Netz</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Klassifizierung</value>
    </subject>
  </doc>
  <doc>
    <id>2040</id>
    <completedYear>2022</completedYear>
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    <language>eng</language>
    <pageFirst>AM2M.2</pageFirst>
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    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation>Technical Digest Series (Optica Publishing Group, 2022)</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Investigation of the Impact of CaCO3 Concentrations on the Fluorescence Lifetime of Polypropylene</title>
    <abstract language="eng">The impact of fillers on the fluorescence lifetime of polymers is still unknown. Investigating polypropylene containing different CaCO3 concentrations using FD-FLIM show an exponential increase in fluorescence lifetime proportional to the CaCO3 density in polypropylene.</abstract>
    <parentTitle language="eng">Conference on Lasers and Electro-Optics</parentTitle>
    <identifier type="doi">10.1364/CLEO_AT.2022.AM2M.2</identifier>
    <enrichment key="opus.import.data">@inproceedingsWohlschlager:22, author = Maximilian Wohlschläger and Martin Versen and Christian Laforsch, booktitle = Conference on Lasers and Electro-Optics, journal = Conference on Lasers and Electro-Optics, keywords = Diode lasers; Fluorescence; Fluorescence lifetime imaging; Fourier transforms; Phase shift; Stray light, pages = AM2M.2, publisher = Optica Publishing Group, title = Investigation of the Impact of CaCO3 Concentrations on the Fluorescence Lifetime of Polypropylene, year = 2022, url = https://opg.optica.org/abstract.cfm?URI=CLEO_AT-2022-AM2M.2, doi = 10.1364/CLEO_AT.2022.AM2M.2, abstract = The impact of fillers on the fluorescence lifetime of polymers is still unknown. Investigating polypropylene containing different CaCO3 concentrations using FD-FLIM show an exponential increase in fluorescence lifetime proportional to the CaCO3 density in polypropylene.,</enrichment>
    <enrichment key="opus.import.dataHash">md5:31ec7a2e4728f65f2c29362b4e8bc464</enrichment>
    <enrichment key="opus.import.date">2023-02-28T07:19:56+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpR1F6tE</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">63fdab1cd462d1.22044928</enrichment>
    <author>Maximilian Wohlschläger</author>
    <author>Martin Versen</author>
    <author>Christian Laforsch</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Diode lasers</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fluorescence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fluorescence lifetime imaging</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fourier transforms</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Phase shift</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Stray light</value>
    </subject>
  </doc>
</export-example>
