SReD - Figure's data

tubulin_block_repetition.zip Data used in Fig. 1a and Fig. S2 Folder "tubulin_line_blocks" contains the input image - a STORM image reconstruction of a HeLa cell with labeled microtubules (from Jimenez et al. (2020). About samples, giving examples: optimized single molecule localization microscopy. Methods. 174:100-114.). A Gaussian blur (2 px) was applied and the image was scaled to 0.25x the original size. The full field-of-view and the crop used in the manuscript are provided. The folder also contain files "blocks_lines.tif" and "block_crossings.tif", which are image stacks containing the simulated blocks used in the analysis. The folder "line_sliding_test" contains the input (full size and a crop) and the simulated reference block used in Fig. S2c (i.e., specificity test). jurkat_gag-egfp_hilo.tif Data used in Fig. 1c and Fig. S4. A Jurkat cell expressing an TetOn-Optigag-(i)EGFP. The cell was cultured in an activation surface containing anti-CD3 antibody and 1 µM of doxycycline. Imaging was done in a Nanoimager (ONI) using the 488 nm laser at 10% and channel 0 (two-band dichroic: 498-551 nm and 576-620 nm). The HILO angle was optimised manually and images were acquired at 100 ms exposure. rpe_eb3.tif Data used in Fig. 4, Fig. S1 and Fig. S13. An RPE1 cell stably expressing EB3-GFP Seeded into a Lab-Tek 8-well chamber (Thermo Fisher) and allowed to adhere for 24 hours. Data acquired in a Nanoimager (ONI), using the 488 nm laser at 10% and channel 0 (two-band dichroic: 498-551 nm and 576-620 nm); 75 ms exposure, one frame every 3 seconds. jurkat_gag-EGFP_epi.tif Data used in Fig. 3 and Fig. S12. A Jurkat cell expressing an TetOn-Optigag-(i)EGFP. Imaging was performed on an inverted microscope ECLIPSE Ti2-E (Nikon Instruments) equipped with a Fusion BT (Hamamatsu Photonics K.K., C14440-20UP) and a Plan Apo λ 100x (NA 1.45) Oil objective. The sample was illuminated with LED light at 515 nm (CoolLED pe800) and acquisition was done at 75 ms exposure with an active Nikon Perfect Focus system and the NIS-Elements AR 5.30.05 software (Nikon Instruments). Volumes were captured by acquiring frames at different depths (z-step size: 0.5 µm). Image deconvolution was performed using a custom Python script based on the Richardson-Lucy method.