CNN-assisted quantitative phase microscopy for biological cell imaging

Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

1 Lataukset (Pure)

Abstrakti

Phase imaging is a solution for the reconstruction of phase information from intensity observations. To make phase imaging possible, sophisticated extra systems are embedded into the existing imaging systems. Contrary, we propose a phase problem solution by DCNN-based framework, which is simple in terms of an optical system. We propose to replace optical lenses with computational algorithms such as CNN phase reconstruction and wavefront propagation. The framework is tested in simulation and real-life experimental phase imaging. To have real experiments with objects close to real-life biological cells, we simulated experimental training datasets on a phase-only spatial light modulator, where phase objects are modeled with corresponding phase distribution to biological cells.

AlkuperäiskieliEnglanti
OtsikkoAdvances in Microscopic Imaging IV
ToimittajatEmmanuel Beaurepaire, Adela Ben-Yakar, YongKeun Park
KustantajaSPIE
ISBN (elektroninen)9781510664692
DOI - pysyväislinkit
TilaJulkaistu - 2023
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaEUROPEAN CONFERENCES ON BIOMEDICAL OPTICS - Munich, Saksa
Kesto: 25 kesäk. 202330 kesäk. 2023

Julkaisusarja

NimiProceedings of SPIE - The International Society for Optical Engineering
Vuosikerta12630
ISSN (painettu)0277-786X
ISSN (elektroninen)1996-756X

Conference

ConferenceEUROPEAN CONFERENCES ON BIOMEDICAL OPTICS
Maa/AlueSaksa
KaupunkiMunich
Ajanjakso25/06/2330/06/23

Julkaisufoorumi-taso

  • Jufo-taso 0

!!ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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