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Dye classification performance of SMLM algorithms for <t>colorimetry</t> cameras on real single-dye-labeled experimental data. Super-resolution reconstructions of CD38 labeled with DL633 (left panels, red) and BCMA labeled with CF680 (right panels, green). The same test dataset (3 cells each for CD38 and BCMA) was processed using (a) CC-DenseSTORM, (b) CC-DeepSTORM, and (c) CC-STORM. The crosstalk rate (CT) and total number of localizations are indicated at the bottom of each frame. CC-DenseSTORM demonstrates significantly lower crosstalk compared to other methods while maintaining a high localization yield. (d) Magnified ROIs 1 and 2, highlighting the elimination of structural grid artifacts in CC-DenseSTORM compared to CC-DeepSTORM. Scale bars: (a)-(c) 2 µm; (d) 1 µm.
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Dye classification performance of SMLM algorithms for colorimetry cameras on real single-dye-labeled experimental data. Super-resolution reconstructions of CD38 labeled with DL633 (left panels, red) and BCMA labeled with CF680 (right panels, green). The same test dataset (3 cells each for CD38 and BCMA) was processed using (a) CC-DenseSTORM, (b) CC-DeepSTORM, and (c) CC-STORM. The crosstalk rate (CT) and total number of localizations are indicated at the bottom of each frame. CC-DenseSTORM demonstrates significantly lower crosstalk compared to other methods while maintaining a high localization yield. (d) Magnified ROIs 1 and 2, highlighting the elimination of structural grid artifacts in CC-DenseSTORM compared to CC-DeepSTORM. Scale bars: (a)-(c) 2 µm; (d) 1 µm.

Journal: Biomedical Optics Express

Article Title: CC-DenseSTORM: deep learning enables colorimetry camera-based simultaneous two-color single-molecule localization microscopy with dense emitters

doi: 10.1364/BOE.587452

Figure Lengend Snippet: Dye classification performance of SMLM algorithms for colorimetry cameras on real single-dye-labeled experimental data. Super-resolution reconstructions of CD38 labeled with DL633 (left panels, red) and BCMA labeled with CF680 (right panels, green). The same test dataset (3 cells each for CD38 and BCMA) was processed using (a) CC-DenseSTORM, (b) CC-DeepSTORM, and (c) CC-STORM. The crosstalk rate (CT) and total number of localizations are indicated at the bottom of each frame. CC-DenseSTORM demonstrates significantly lower crosstalk compared to other methods while maintaining a high localization yield. (d) Magnified ROIs 1 and 2, highlighting the elimination of structural grid artifacts in CC-DenseSTORM compared to CC-DeepSTORM. Scale bars: (a)-(c) 2 µm; (d) 1 µm.

Article Snippet: The fluorescence signal was filtered by a band-pass filter (ET705/100 m, Chroma), and image sequences were captured by a colorimetry camera (Retina 200DSC, SN: 006, Tucsen Photonics) with an exposure time of 30 ms.

Techniques: Colorimetric Assay, Labeling