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Image Processing in Optical Nanoscopy (IPNano)5 ECTS
(englische Bezeichnung: Image Processing in Optical Nanoscopy)
(Prüfungsordnungsmodul: Image Processing in Optical Nanoscopy)

Modulverantwortliche/r: Harald Köstler
Lehrende: Harald Köstler, Gerald Donnert


Start semester: WS 2021/2022Duration: 1 semesterCycle: jährlich (SS)
Präsenzzeit: 30 Std.Eigenstudium: 120 Std.Language: Englisch

Lectures:


Inhalt:

The module includes two interlinked topics. First, an introduction to the techniques of optical imaging (e.g. for biological specimen) with a special focus on recently evolving super-resolution techniques beyond the diffraction barrier. Second, the students will be given an overview of existing numerical techniques in imaging processing especially for image deblurring. The focus lies on algorithms based on sparse coding and deep learning methods. Additionally one makes use of information about the imaging system. The algorithms are applied to optical imaging and implemented in Matlab or Python.

Lernziele und Kompetenzen:

  • Students are able to implement image processing algorithms in Matlab.
  • They can differentiate between different methods of high-resolution microscopy.

  • They can validate image processing algorithms on real data.

Literatur:

The relevant scientific literature are current publications that are provided during the course.

Organisatorisches:

Interessenten melden sich per Mail bei harald.koestler@fau.de


Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:

  1. Advanced Optical Technologies (Master of Science)
    (Po-Vers. 2018w | TechFak | Advanced Optical Technologies (Master of Science) | Gesamtkonto | Major Topics | Computational Optics | Image Processing in Optical Nanoscopy)
Dieses Modul ist daneben auch in den Studienfächern "Medizintechnik (Master of Science)" verwendbar. Details

Studien-/Prüfungsleistungen:

Image Processing in Optical Nanoscopy (Prüfungsnummer: 21351)

(englischer Titel: Image Processing in Optical Nanoscopy)

Prüfungsleistung, mündliche Prüfung, Dauer (in Minuten): 30, benotet, 5 ECTS
Anteil an der Berechnung der Modulnote: 100.0 %

Erstablegung: WS 2021/2022, 1. Wdh.: SS 2022
1. Prüfer: Harald Köstler

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