Code and example imaging data for "Resolving single-cell secretion dynamics underlying cell–cell communication"

Résumé fourni par la source

Computational decoding framework for time-resolved FluoroSpot, a live-cell secretion imaging platform. In a sandwich immunoassay the fluorescence recorded at each pixel is the cumulative amount of detection antibody bound over time, so secretion dynamics are blurred by signal accumulation and antibody-binding kinetics. This software inverts that encoding — a spatial and temporal Gaussian, a Savitzky–Golay temporal derivative, and a Fourier deconvolution of the antibody-binding impulse response — to reconstruct instantaneous single-cell secretion rates from the accumulated readout. This deposit accompanies the manuscript “Resolving single-cell secretion dynamics underlying cell–cell communication” (Yang et al.). It contains the source code and the representative time-lapse datasets published as Fig. 2e and Fig. 4b. Each dataset is cut from the drift-corrected full-frame recording with a 64-pixel margin, so that decoding the crop reproduces the reconstruction computed over the full 2304 × 2304 field bit for bit inside the published region. Contents trfluorospot-v1.0.0.zip — source code (see README.md) fig2e_il1b.tif — Fig. 2e, IL-1β, 732 × 258 × 308, uint16 fig4b_il1b.tif — Fig. 4b, IL-1β, 610 × 366 × 366, uint16 fig4b_dic.tif — Fig. 4b, DIC channel, 610 × 366 × 366, uint16 fig4b_sytox.tif — Fig. 4b, SYTOX Orange, 610 × 366 × 366, uint16 The complete raw time-lapse recordings are 0.1–1.6 TB per experiment (about 3.7 TB across the study) and are available from the corresponding author on reasonable request.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.