matlab pseudocodes Search Results


matlab-like pseudocode  (MathWorks Inc)
90
MathWorks Inc matlab-like pseudocode
Matlab Like Pseudocode, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab pseudocode  (MathWorks Inc)
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MathWorks Inc matlab pseudocode
Matlab Pseudocode, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab pseudocodes  (MathWorks Inc)
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MathWorks Inc matlab pseudocodes
A single-pixel approach to recover the transmission matrix. A Simplified schematic view of a general fluorescence microscope with a single-pixel detector. Random wavefront generated by a SLM a Nm impinges on a scattering medium with a transmission matrix T and excites 2-photon fluorescence (2PF) of an extended object o . The fluorescence signal y is collected by a single-pixel detector (e.g. photo-multiplier tube (PMT)). A matrix A is made from the known wavefronts a Nm . A gradient-descent-based algorithm is used to solve the forward problem min t i || y− ∑| At i | 4 || 2 , where t i are filtered columns of T by the positions of o . B Selected experimental realization. (Upper panel) 2PF signal detected vs. number of random wavefronts. Representative wavefronts used are shown in the insets. (Bottom panels) Inspected foci for two selected column after retrieval of z z , a sum of all images for each focus demonstrating unique single focus for each column retrieved, and comparison with brightfield image confirming the number of sources . The <t>MATLAB</t> codes for speckle analysis and control are given in
Matlab Pseudocodes, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab v. 2024a  (MathWorks Inc)
90
MathWorks Inc matlab v. 2024a
A single-pixel approach to recover the transmission matrix. A Simplified schematic view of a general fluorescence microscope with a single-pixel detector. Random wavefront generated by a SLM a Nm impinges on a scattering medium with a transmission matrix T and excites 2-photon fluorescence (2PF) of an extended object o . The fluorescence signal y is collected by a single-pixel detector (e.g. photo-multiplier tube (PMT)). A matrix A is made from the known wavefronts a Nm . A gradient-descent-based algorithm is used to solve the forward problem min t i || y− ∑| At i | 4 || 2 , where t i are filtered columns of T by the positions of o . B Selected experimental realization. (Upper panel) 2PF signal detected vs. number of random wavefronts. Representative wavefronts used are shown in the insets. (Bottom panels) Inspected foci for two selected column after retrieval of z z , a sum of all images for each focus demonstrating unique single focus for each column retrieved, and comparison with brightfield image confirming the number of sources . The <t>MATLAB</t> codes for speckle analysis and control are given in
Matlab V. 2024a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab-like pseudocode format  (MathWorks Inc)
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MathWorks Inc matlab-like pseudocode format
A single-pixel approach to recover the transmission matrix. A Simplified schematic view of a general fluorescence microscope with a single-pixel detector. Random wavefront generated by a SLM a Nm impinges on a scattering medium with a transmission matrix T and excites 2-photon fluorescence (2PF) of an extended object o . The fluorescence signal y is collected by a single-pixel detector (e.g. photo-multiplier tube (PMT)). A matrix A is made from the known wavefronts a Nm . A gradient-descent-based algorithm is used to solve the forward problem min t i || y− ∑| At i | 4 || 2 , where t i are filtered columns of T by the positions of o . B Selected experimental realization. (Upper panel) 2PF signal detected vs. number of random wavefronts. Representative wavefronts used are shown in the insets. (Bottom panels) Inspected foci for two selected column after retrieval of z z , a sum of all images for each focus demonstrating unique single focus for each column retrieved, and comparison with brightfield image confirming the number of sources . The <t>MATLAB</t> codes for speckle analysis and control are given in
Matlab Like Pseudocode Format, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab 2015b  (MathWorks Inc)
90
MathWorks Inc matlab 2015b
A single-pixel approach to recover the transmission matrix. A Simplified schematic view of a general fluorescence microscope with a single-pixel detector. Random wavefront generated by a SLM a Nm impinges on a scattering medium with a transmission matrix T and excites 2-photon fluorescence (2PF) of an extended object o . The fluorescence signal y is collected by a single-pixel detector (e.g. photo-multiplier tube (PMT)). A matrix A is made from the known wavefronts a Nm . A gradient-descent-based algorithm is used to solve the forward problem min t i || y− ∑| At i | 4 || 2 , where t i are filtered columns of T by the positions of o . B Selected experimental realization. (Upper panel) 2PF signal detected vs. number of random wavefronts. Representative wavefronts used are shown in the insets. (Bottom panels) Inspected foci for two selected column after retrieval of z z , a sum of all images for each focus demonstrating unique single focus for each column retrieved, and comparison with brightfield image confirming the number of sources . The <t>MATLAB</t> codes for speckle analysis and control are given in
Matlab 2015b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab r2013a  (MathWorks Inc)
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MathWorks Inc matlab r2013a
A single-pixel approach to recover the transmission matrix. A Simplified schematic view of a general fluorescence microscope with a single-pixel detector. Random wavefront generated by a SLM a Nm impinges on a scattering medium with a transmission matrix T and excites 2-photon fluorescence (2PF) of an extended object o . The fluorescence signal y is collected by a single-pixel detector (e.g. photo-multiplier tube (PMT)). A matrix A is made from the known wavefronts a Nm . A gradient-descent-based algorithm is used to solve the forward problem min t i || y− ∑| At i | 4 || 2 , where t i are filtered columns of T by the positions of o . B Selected experimental realization. (Upper panel) 2PF signal detected vs. number of random wavefronts. Representative wavefronts used are shown in the insets. (Bottom panels) Inspected foci for two selected column after retrieval of z z , a sum of all images for each focus demonstrating unique single focus for each column retrieved, and comparison with brightfield image confirming the number of sources . The <t>MATLAB</t> codes for speckle analysis and control are given in
Matlab R2013a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab/octave16 pseudocode  (MathWorks Inc)
90
MathWorks Inc matlab/octave16 pseudocode
A single-pixel approach to recover the transmission matrix. A Simplified schematic view of a general fluorescence microscope with a single-pixel detector. Random wavefront generated by a SLM a Nm impinges on a scattering medium with a transmission matrix T and excites 2-photon fluorescence (2PF) of an extended object o . The fluorescence signal y is collected by a single-pixel detector (e.g. photo-multiplier tube (PMT)). A matrix A is made from the known wavefronts a Nm . A gradient-descent-based algorithm is used to solve the forward problem min t i || y− ∑| At i | 4 || 2 , where t i are filtered columns of T by the positions of o . B Selected experimental realization. (Upper panel) 2PF signal detected vs. number of random wavefronts. Representative wavefronts used are shown in the insets. (Bottom panels) Inspected foci for two selected column after retrieval of z z , a sum of all images for each focus demonstrating unique single focus for each column retrieved, and comparison with brightfield image confirming the number of sources . The <t>MATLAB</t> codes for speckle analysis and control are given in
Matlab/Octave16 Pseudocode, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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fcm-wa (fuzzy c-means with weighted average) matlab pseudocode  (MathWorks Inc)
90
MathWorks Inc fcm-wa (fuzzy c-means with weighted average) matlab pseudocode
A single-pixel approach to recover the transmission matrix. A Simplified schematic view of a general fluorescence microscope with a single-pixel detector. Random wavefront generated by a SLM a Nm impinges on a scattering medium with a transmission matrix T and excites 2-photon fluorescence (2PF) of an extended object o . The fluorescence signal y is collected by a single-pixel detector (e.g. photo-multiplier tube (PMT)). A matrix A is made from the known wavefronts a Nm . A gradient-descent-based algorithm is used to solve the forward problem min t i || y− ∑| At i | 4 || 2 , where t i are filtered columns of T by the positions of o . B Selected experimental realization. (Upper panel) 2PF signal detected vs. number of random wavefronts. Representative wavefronts used are shown in the insets. (Bottom panels) Inspected foci for two selected column after retrieval of z z , a sum of all images for each focus demonstrating unique single focus for each column retrieved, and comparison with brightfield image confirming the number of sources . The <t>MATLAB</t> codes for speckle analysis and control are given in
Fcm Wa (Fuzzy C Means With Weighted Average) Matlab Pseudocode, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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r© pseudocode statement  (MathWorks Inc)
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MathWorks Inc r© pseudocode statement
A single-pixel approach to recover the transmission matrix. A Simplified schematic view of a general fluorescence microscope with a single-pixel detector. Random wavefront generated by a SLM a Nm impinges on a scattering medium with a transmission matrix T and excites 2-photon fluorescence (2PF) of an extended object o . The fluorescence signal y is collected by a single-pixel detector (e.g. photo-multiplier tube (PMT)). A matrix A is made from the known wavefronts a Nm . A gradient-descent-based algorithm is used to solve the forward problem min t i || y− ∑| At i | 4 || 2 , where t i are filtered columns of T by the positions of o . B Selected experimental realization. (Upper panel) 2PF signal detected vs. number of random wavefronts. Representative wavefronts used are shown in the insets. (Bottom panels) Inspected foci for two selected column after retrieval of z z , a sum of all images for each focus demonstrating unique single focus for each column retrieved, and comparison with brightfield image confirming the number of sources . The <t>MATLAB</t> codes for speckle analysis and control are given in
R© Pseudocode Statement, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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gpr calibration procedure pseudocode  (MathWorks Inc)
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MathWorks Inc gpr calibration procedure pseudocode
A single-pixel approach to recover the transmission matrix. A Simplified schematic view of a general fluorescence microscope with a single-pixel detector. Random wavefront generated by a SLM a Nm impinges on a scattering medium with a transmission matrix T and excites 2-photon fluorescence (2PF) of an extended object o . The fluorescence signal y is collected by a single-pixel detector (e.g. photo-multiplier tube (PMT)). A matrix A is made from the known wavefronts a Nm . A gradient-descent-based algorithm is used to solve the forward problem min t i || y− ∑| At i | 4 || 2 , where t i are filtered columns of T by the positions of o . B Selected experimental realization. (Upper panel) 2PF signal detected vs. number of random wavefronts. Representative wavefronts used are shown in the insets. (Bottom panels) Inspected foci for two selected column after retrieval of z z , a sum of all images for each focus demonstrating unique single focus for each column retrieved, and comparison with brightfield image confirming the number of sources . The <t>MATLAB</t> codes for speckle analysis and control are given in
Gpr Calibration Procedure Pseudocode, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


A single-pixel approach to recover the transmission matrix. A Simplified schematic view of a general fluorescence microscope with a single-pixel detector. Random wavefront generated by a SLM a Nm impinges on a scattering medium with a transmission matrix T and excites 2-photon fluorescence (2PF) of an extended object o . The fluorescence signal y is collected by a single-pixel detector (e.g. photo-multiplier tube (PMT)). A matrix A is made from the known wavefronts a Nm . A gradient-descent-based algorithm is used to solve the forward problem min t i || y− ∑| At i | 4 || 2 , where t i are filtered columns of T by the positions of o . B Selected experimental realization. (Upper panel) 2PF signal detected vs. number of random wavefronts. Representative wavefronts used are shown in the insets. (Bottom panels) Inspected foci for two selected column after retrieval of z z , a sum of all images for each focus demonstrating unique single focus for each column retrieved, and comparison with brightfield image confirming the number of sources . The MATLAB codes for speckle analysis and control are given in

Journal: Applied Physics. B, Lasers and Optics

Article Title: Roadmap on computational methods in optical imaging and holography [invited]

doi: 10.1007/s00340-024-08280-3

Figure Lengend Snippet: A single-pixel approach to recover the transmission matrix. A Simplified schematic view of a general fluorescence microscope with a single-pixel detector. Random wavefront generated by a SLM a Nm impinges on a scattering medium with a transmission matrix T and excites 2-photon fluorescence (2PF) of an extended object o . The fluorescence signal y is collected by a single-pixel detector (e.g. photo-multiplier tube (PMT)). A matrix A is made from the known wavefronts a Nm . A gradient-descent-based algorithm is used to solve the forward problem min t i || y− ∑| At i | 4 || 2 , where t i are filtered columns of T by the positions of o . B Selected experimental realization. (Upper panel) 2PF signal detected vs. number of random wavefronts. Representative wavefronts used are shown in the insets. (Bottom panels) Inspected foci for two selected column after retrieval of z z , a sum of all images for each focus demonstrating unique single focus for each column retrieved, and comparison with brightfield image confirming the number of sources . The MATLAB codes for speckle analysis and control are given in

Article Snippet: As an example of the methods explained, we present MATLAB pseudocodes for making diffractive lenses and for the 3D volume reconstruction from phase-shift holographic images.

Techniques: Transmission Assay, Fluorescence, Microscopy, Generated, Comparison, Control

List of acronyms

Journal: Applied Physics. B, Lasers and Optics

Article Title: Roadmap on computational methods in optical imaging and holography [invited]

doi: 10.1007/s00340-024-08280-3

Figure Lengend Snippet: List of acronyms

Article Snippet: As an example of the methods explained, we present MATLAB pseudocodes for making diffractive lenses and for the 3D volume reconstruction from phase-shift holographic images.

Techniques: Multiplexing, Imaging, Microscopy, Fluorescence, Computed Tomography, Virus, Tomography, Refractive Index, Digital Holographic Microscopy, Blocking Assay, Optical Imaging