Matlab code for Generalized inverse matrix algorithm for directly and fast data processing of multi-wavelength pyrometer by bing han (8943008)

“…A novel data processing algorithm of Multi-wavelength pyrometer is proposed based generalized inverse matrix theory without affection from unknown emissvity, it has well precision and efficiency to meet 2D temperature fields transient measurement, such as rocket nozzle.…”

Multimodal imaging was used to obtain <i>in vivo</i> AA diameter measurements in stage 21 chick embryos. by William J. Kowalski (393033)

“…In D, the dotted circles represent the AA lumen based on our image processing algorithm. The dotted lines in F highlight the boundaries of the AA lumen. …”

Evaluation example of an in vivo SHG-image of dermal collagen. by Maximilian Witte (8313381)

“…<p>Left column ((B),(D),(F)): Evaluation steps of the implemented image processing algorithm. Right column ((C),(E),(G)): Manual fiber tracing of fibers, which serves as ground truth. …”

Detection of corrosion on steel structures using an artificial neural network by Mojtaba Khayatazad (12567694)

“…The proposed ANN outperforms an available image processing algorithm from the perspective of both speed and accuracy. …”

Figure 8B: Immobilized DOPC GUVs imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the Y axis. by Jakub Nedbal (13147905)

“…</p><p dir="ltr">This video is a supplement to the article "<a href="https://doi.org/10.1038/s41598-024-56122-1" rel="noreferrer" target="_blank">A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos</a>"</p>…”

Figure 8B: Immobilized DOPC GUVs imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. by Jakub Nedbal (13147905)

“…</p><p dir="ltr">This video is a supplement to the article "<a href="https://doi.org/10.1038/s41598-024-56122-1" rel="noreferrer" target="_blank">A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos</a>"</p>…”

Figure 6A: Diffusing <i>C. vulgaris</i> cells, partly treated with DCMU, and imaged with fluorescence lifetime contrast. by Jakub Nedbal (13147905)

“…</p><p dir="ltr">This video is a supplement to the article "<a href="https://doi.org/10.1038/s41598-024-56122-1" rel="noreferrer" target="_blank">A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos</a>"</p>…”

Figure 8A: Immobilized DPPC GUVs imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. by Jakub Nedbal (13147905)

“…</p><p dir="ltr">This video is a supplement to the article "<a href="https://doi.org/10.1038/s41598-024-56122-1" rel="noreferrer" target="_blank">A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos</a>"</p>…”

Imaging of circulating tumor cells in an awake, freely behaving animal using the mIVM. by Laura Sarah Sasportas (303198)

“…(<b>C</b>, <b>D</b>) Quantification of number of CTCs events during 2h-long awake imaging, using a MATLAB image processing algorithm, in Vessel 1 (<b>C</b>) and Vessel 2 (<b>D</b>). …”

A Quantitative Image Cytometry Technique for Time Series or Population Analyses of Signaling Networks by Yu-ichi Ozaki (250976)

“…</p><h3>Methodology/Principal Findings</h3><p>We developed a fully automatable assay technique, termed quantitative image cytometry (QIC), which integrates a quantitative immunostaining technique and a high precision image-processing algorithm for cell identification. With the aid of an automated sample preparation system, this device can quantify protein expression, phosphorylation and localization with subcellular resolution at one-minute intervals. …”

Figure 7D: Immobilized <i>D. quadricauda</i> cells, untreated, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the Y... by Jakub Nedbal (13147905)

“…</p><p dir="ltr">This video is a supplement to the article "<a href="https://doi.org/10.1038/s41598-024-56122-1" rel="noreferrer" target="_blank">A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos</a>"</p>…”

Figure 7D: Immobilized <i>D. quadricauda</i> cells, untreated, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. by Jakub Nedbal (13147905)

“…</p><p dir="ltr">This video is a supplement to the article "<a href="https://doi.org/10.1038/s41598-024-56122-1" rel="noreferrer" target="_blank">A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos</a>"</p>…”

Figure 8A: Immobilized DPPC GUVs imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the Y axis. by Jakub Nedbal (13147905)

“…</p><p dir="ltr">This video is a supplement to the article "<a href="https://doi.org/10.1038/s41598-024-56122-1" rel="noreferrer" target="_blank">A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos</a>"</p>…”

Figure 7A: Immobilized <i>C. vulgaris</i> cells, untreated, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. by Jakub Nedbal (13147905)

“…</p><p dir="ltr">This video is a supplement to the article "<a href="https://doi.org/10.1038/s41598-024-56122-1" rel="noreferrer" target="_blank">A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos</a>"</p>…”

Class switch recombination states detected by FISH. by Jakub Nedbal (112268)

“…Details about the applied image processing algorithm are presented in “Materials and Methods”. …”

Large-Scale Nonequilibrium Molecular Studies of Thermal Hydrate Dissociation by Meisam Adibifard (16610613)

“…We monitored the kinetics of dissociation using an image-processing algorithm and observed the dynamics of the process while maintaining a thermal gradient at the dissociation front. …”

Validation of confluency measurements using cell distribution mapping. by Marc-Olivier Baradez (341305)

“…<p><i>(A)</i> 1 - Ground truth synthetic cell distribution map generated in absence of noise or PSF. 2 – cell confluency map generated from the synthetic data using the distribution map image processing algorithm. <i>(B)</i> Comparison of synthetic ground truth confluence versus measured confluence. …”

Large-Scale Nonequilibrium Molecular Studies of Thermal Hydrate Dissociation by Meisam Adibifard (16610613)

“…We monitored the kinetics of dissociation using an image-processing algorithm and observed the dynamics of the process while maintaining a thermal gradient at the dissociation front. …”

Large-Scale Nonequilibrium Molecular Studies of Thermal Hydrate Dissociation by Meisam Adibifard (16610613)

“…We monitored the kinetics of dissociation using an image-processing algorithm and observed the dynamics of the process while maintaining a thermal gradient at the dissociation front. …”

Speed of shortening in FDB fibres of WT and <i>Actn3</i> KO mice. by Stewart I. Head (346635)

“…The right panel shows the created output image containing the <i>l</i>(<i>t</i>), <i>l</i>(<i>t</i>)/<i>L</i>₀, vel(abs), vel(rel), fibre diameters and minimum shortening length calculated from the image processing algorithm. (Note that in the right panel, the text has been overtyped to improve legibility, as the original screenshot could not be obtained at a higher resolution.) …”