Additional file 4 of ReCSAI: recursive compressed sensing artificial intelligence for confocal lifetime localization microscopy

Additional file 4 of ReCSAI: recursive compressed sensing artificial intelligence for confocal lifetime localization microscopy

Additional file 4. Fig. S4. Wavelet filter bank peak detection on an example frame of a FLIMbee measurement. The input image a is deconstructed with a wavelet filter bank, trained to extract frequencies resembling a PSF. A threshold is applied before reconstructing to generate a denoised image b. Po...

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Bibliographische Detailangaben
Hauptverfasser: Reinhard, Sebastian, Helmerich, Dominic A., Boras, Dominik, Sauer, Markus, Kollmannsberger, Philip
Format: Bild
Sprache:eng
Schlagworte:
Artificial Intelligence and Image Processing
FOS: Computer and information sciences
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Zusammenfassung:Additional file 4. Fig. S4. Wavelet filter bank peak detection on an example frame of a FLIMbee measurement. The input image a is deconstructed with a wavelet filter bank, trained to extract frequencies resembling a PSF. A threshold is applied before reconstructing to generate a denoised image b. Potential emitters are identified with a local maximum detection. The detected peaks are marked with red rectangles.
DOI:10.6084/m9.figshare.22605511