Supplementary Figure 1: Analysis of the polarization modulation of the raw SPoD data in Figure 4b of ref. 2.
From Polarization modulation adds little additional information to super-resolution fluorescence microscopy
- Journal name:
- Nature Methods
- Volume:
- 13,
- Pages:
- 7–8
- Year published:
- DOI:
- doi:10.1038/nmeth.3687
- Published online

(a) Average of the raw modulation data of the region shown in Fig. 1a (Diffraction limited resolution). (b) Modulation amplitude along the polarization direction determined from a simple sinusoidal fit. (c) Raw SPoD data along the line profiles shown in (a) and (b). Scale bars, 300nm.
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Affiliations
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Department of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
- Lars Frahm &
- Jan Keller
Competing financial interests
The authors declare no competing financial interests.
Author details
Lars Frahm
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Jan Keller
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Supplementary Figure 1: Analysis of the polarization modulation of the raw SPoD data in Figure 4b of ref. 2.Hover over figure to zoom
(a) Average of the raw modulation data of the region shown in Fig. 1a (Diffraction limited resolution). (b) Modulation amplitude along the polarization direction determined from a simple sinusoidal fit. (c) Raw SPoD data along the line profiles shown in (a) and (b). Scale bars, 300nm.
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Supplementary Figure 2: Analysis of ExPAN data from Figure 2d of ref. 2.Hover over figure to zoom
(a) Average of the raw modulation data of data in Fig. 2d in Hafi et al.2 (Diffraction-limited resolution). (b) Deconvolved images using the SPEED algorithm with (top) and without (bottom) taking modulation information into account, respectively. (c) Raw ExPAN modulation data along the line profile in (a). (d) Intensity profile plots along the dotted line of the diffraction-limited data in (a) (black), the SPEED deconvolution with modulation (b, top) (blue) and the SPEED deconvolution without modulation (b, bottom) (orange), respectively. Scale bars, 200 nm.
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Supplementary Figure 3: Central cutout of the neuron in Figure 4b of ref. 2 after processing with various deconvolution algorithms.Hover over figure to zoom
Richardson-Lucy (RL) deconvolution (left column), deconvolution by the SPEED algorithm of Hafi et al. for different values of the λ1 sparsity parameter (second to fourth columns) after 200 iterations (a) or 520 iterations (b). All other parameters as specified in the Supplementary Software package of Hafi et al.2. (c) FWHMs (after linear interpolation) of the spine neck (dotted lines in (a, b)) of the deconvolved data as function of the number of iterations performed in each deconvolution algorithm. Scale bars, 1 μm.