Visualization 1 includes four parts. Part I presents the speckle evolution of both monochromatic and polychromatic speckles under the illumination bandwidth ranging from λ = 500 nm to λ = 764 nm. Part II shows the speckle autocorrelation changes with the illumination wavelength and the corresponding PBR function versus illumination spectral width. Part III provides the extended data of Fig. 17. In Part IV, we show a dynamic phase retrieval process of an object ’optics’...

Visualization 1 includes four parts. Part I presents the speckle evolution of both monochromatic and polychromatic speckles under the illumination bandwidth ranging from λ = 500 nm to λ = 764 nm. Part II shows the speckle autocorrelation changes with the illumination wavelength and the corresponding PBR function versus illumination spectral width. Part III provides the extended data of Fig. 17. In Part IV, we show a dynamic phase retrieval process of an object ’optics’...

Visualization 2 can understand the fit of the second group of spot trajectories reconstructed by different algorithms

Supplementary Media for Self-Supervised Deep Learning Two-Photon Microscopy

Supplementary Material 2

Video of non-DoT system simulation of scene 1 in 45 degree.

Visualization 1 shows the spectrum of the mode hop free tunable laser with continuously altering while the wave crests passing on the F-P interferometer.

Visualization 1 demonstrates the reconstructed image of an accelerated moving object "B" using the conventional SPI method, Guo et al.'s method, and the proposed method, respectively, as the number of moving frames increases.

Visualization 1 demonstrates the reconstructed image of an accelerated moving object "B" using the conventional SPI method, Guo et al.'s method, and the proposed method, respectively, as the number of moving frames increases.

The dynamic evolution of rays in 3D geodesic lens.

The dynamic evolution of waves in 2D MFE lens.

Additional file 6. The original blots.

Esophageal pressure (Pes) can be used as a reliable surrogate for pleural pressure, especially in critically ill patients requiring personalized mechanical ventilation strategies. How to choose the proper esophageal balloon fifilling volume and then fifind the optimal value of esophageal pressure remains a challenge. The Viedo aimed to assess the feasibility of catheters for Pes monitoring in mechanically ventilated patients.

Additional file 1: Figure S1. Full-length blots/gels of ABCA1, MMP9, AQP4, CYP46, and beta-actin are presented. Figure S2. Full-length blots/gels of phospho-PI3K, PI3K, AKT, phospho-AKT, eNOS, phospho-eNOS and beta-actin are presented. Figure S3. Full-length blots/gels of ABCA1 and beta-actin are presented. Figure S4. Full-length blots/gels of MMP9, AQP4, CYP46 and β-actin are presented. Figure S5. Full-length blots/gels of phospho-PI3K, PI3K, AKT, phospho-AKT, eNOS, phospho-eNOS and β-actin are presented.

Additional file 1: Supplementary Fig. 1. A circular genomic map displays the distribution of all KRAB-ZFP genes across the human genome. The width of each pink bar positively correlates to the number of KRAB-ZFP genes in a cluster.

The movie of raw data in fig.3

The movement of a water surface and splashed drops after a water drip dropping on the surface.

Additional file 5 Supplementary Fig. 5. Screening efficient sgRNAs for knocking out KRAB-Zfp cluster(s) by CRISPR-Cas9. (A) The sequences and detailed information of the 11 linker-targeting sgRNAs constructed in the reporter plasmid in Fig. 4A. There are two “NGG” sites within the linker regions and they were used as PAM sites for the two sets of sgRNAs. The nucleotides identical across the whole set of sgRNA targets are labeled in black and the variable nucleotides...

Additional file 8 Supplementary Fig. 8. Analyses of KRAB-Zfp related Satellite DNA cluster identified in the Kauzlaric’s paper [32]. (A) Comparison of the cluster distribution of our work and the Kauzlaric’s paper. The clusters defined by both studies are pointed with red arrows; the clusters only defined by our work are pointed with blue arrows; and the clusters only defined by the Kauzlaric’s paper are pointed with green arrows, mainly including the KRAB-Zfp related Satellite...

Dynamic 3D measurement based on orthogonal fringe projection and geometric constraints

Visualization 3 can understand the fit of the second group of spot trajectories reconstructed by different algorithms

A 360° dynamic holographic video

Additional file 6. KEGG and GO enrichment analysis of 452 differential proteins in our dataset.

Additional file 3. The Gaussian fitting curve of log2 ratio of the intensities of two replicates of 20/0 (A), 80/0 (B) and 160/0 (C). The red and blue curves represent the experimental and Gaussian fitting curve, respectively.

Supporting distributed real-time collaborative work has become an important development trend in GIS. It enables group users to cooperate and improve the use of scientific data and collaboration technologies. Real-time collaborative GIS (RCGIS) provides a platform for supporting synchronous collaboration using geospatial data in various forms. Traditional RCGIS generally works on a single map view, which has the disadvantage of collaborative interface confusion. The traditional system-driven mechanism of RCGIS is a computer-interaction event that has...