Fig. 1. Super-resolution imaging results based on deconvolution algorithms in structured illumination microscopy. (a) Dual-color three-dimensional super-resolution images of actin (magenta) and chromatin (green) based on MAP-SIM^[33]; (b) HiFi-SIM reconstruction of microtubules in COS-7 cells^[35]; (c) visualization of microtubule dynamics based on JSFR-SIM^[36]; (d) super-resolution reconstruction of dynamic processes in COS-7 mitochondria based on PCA-SIM^[37]

Fig. 2. Super-resolution imaging results based on regularization deconvolution algorithms in structured illumination microscopy. (a) Dynamics of mitochondrial cristae structure in live cells based on Hessian-SIM^[41]; (b) sorSIM reconstruction of microtubule-stained images in Vero cells^[42]; (c) Sparse-SIM reconstruction of both inner and outer mitochondrial membranes in live COS-7 cells^[8]; (d) super-fast imaging of fusion pores in INS-1 cells based on Sparse-SIM^[8]; (e) super-resolution reconstruction results of Sparse-ExM^[8]; (f) nulti-color 3D-SIM reconstruction of TV-FISTA-SIM (from left to right: outer mitochondrial membrane, microtubule protein, and actin imaging)^45]

Fig. 3. Super-resolution imaging results based on deconvolution algorithms in improved structured illumination microscopy. (a) Imaging results of the wave-like protein network in fixed HUVEC cells based on RIM^[48]; (b) three-dimensional imaging results based on RIM^[48]; (c) mitochondrial fission and fusion processes mediated by the endoplasmic reticulum (magenta) based on GI-SIM^[50]

Fig. 4. Imaging results based on deconvolution algorithms in image scanning microscopy. (a) Principle of MSIM image reconstruction and reconstruction of microtubules (green) and mitochondrial outer membrane (magenta)^[52]; (b) principle of CSD-ISM image reconstruction and the resulting reconstruction^[53]; (c) application of NNLS deconvolution to a test sample with 70 nm resolution^[56]; (d) generation of ISM and Q-ISM images and reconstruction using the Joint Sparse Recovery (JSR) algorithm^[60]; (e) Sparse SD-SIM imaging results of a four-color live cell, with lysosomes (yellow), mitochondrial matrix (green), cell nucleus (blue), and microtubule proteins (red)^[8]; (f) Sparse SD-SIM imaging results of the endoplasmic reticulum in live cells^[8]

Fig. 5. Stimulated emission depletion microscopy imaging results based on deconvolution algorithms. (a) RL-STED reconstruction results^[63]; (b) smart RESOLFT reconstruction^[64]; (c) Sparse-STED reconstruction of the nuclear pore protein^[8]; (d) cross-validation of dual-color confocal microscopy and stimulated emission depletion microscopy, highlighting the mitochondrial outer membrane (magenta) and microtubule proteins (green)^[8]

Fig. 6. Super-resolution optical fluctuation imaging results based on deconvolution algorithms. (a) Workflow of classical super-resolution optical fluctuation imaging techniques^[66]; (b) Fourier SOFI resolution of the microtubule protein network in fibroblast cells^[67]; (c) 3B analysis of focal adhesion proteins in fixed cells^[70]; (d) SIMBA imaging of grid protein clusters (ccp) in live HeLa cells^[71]; (e) multi-plane three-dimensional SOFI of live HeLa cells expressing vimentin-Dreiklang^[73]

Fig. 7. Super-resolution optical fluctuation imaging results based on deconvolution algorithms. (a) SRRF applied to wide-field illumination microscopy^[78]; (b) imaging of the endoplasmic reticulum in live Jurkat cells using eSRRF combined with lattice light-sheet microscopy^[79]; (c) sparse deconvolution imaging of the mitochondrial outer membrane in HEK293-T cells^[74]; (d) imaging of actin in live cells based on SOFI2.0^[84]; (e) high-resolution four-dimensional imaging of live cell mitochondrial outer membrane based on SACD^[87]; (f) high-throughput imaging of cell microtubules based on SACD^[87]