matlab umap package Search Results


umap package  (MathWorks Inc)
90
MathWorks Inc umap package
(A) Schematic of how optical signature is captured. In this specific example, every partition is scanned serially with 10 different channel settings configured for dye classes I, II, and III. Channel settings include distinct excitation wavelength, indicated by colored vertical lines, emission wavelength, indicated by colored rectangles, and photobleaching events. Data generated in each channel is used to assemble an optical signature for each partition composed of fluorescence intensity values, which unambiguously identifies the target captured in 3D partition positions. Sample of data is shown in the table (B) light sheet images with photobleachable (FAM, Bodipy TMR-X, and Cy5) and photostable (Alexa488, HEX, and Atto647N) dyes before and after a brief photobleaching event. Zoomed in micrographs of individual partitions are shown in the corner of images as examples. (C) <t>UMAP</t> visualization of optical signatures for all positive partitions detected by the UltraPCR Imager analysis pipeline followed by clustering <t>using</t> <t>DBScan</t> . (D) Aggregate optical signature for each cluster (vertical-axis) with circle size indicating normalized intensity value for each channel (horizontal-axis). (E) Number of molecules identified per cluster. This experiment was performed as a duplicate to generate an error bar signifying standard error.
Umap Package, 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
https://www.bioz.com/result/umap package/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
umap package - by Bioz Stars, 2026-03
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matlab umap package  (MathWorks Inc)
90
MathWorks Inc matlab umap package
(A) Schematic of how optical signature is captured. In this specific example, every partition is scanned serially with 10 different channel settings configured for dye classes I, II, and III. Channel settings include distinct excitation wavelength, indicated by colored vertical lines, emission wavelength, indicated by colored rectangles, and photobleaching events. Data generated in each channel is used to assemble an optical signature for each partition composed of fluorescence intensity values, which unambiguously identifies the target captured in 3D partition positions. Sample of data is shown in the table (B) light sheet images with photobleachable (FAM, Bodipy TMR-X, and Cy5) and photostable (Alexa488, HEX, and Atto647N) dyes before and after a brief photobleaching event. Zoomed in micrographs of individual partitions are shown in the corner of images as examples. (C) <t>UMAP</t> visualization of optical signatures for all positive partitions detected by the UltraPCR Imager analysis pipeline followed by clustering <t>using</t> <t>DBScan</t> . (D) Aggregate optical signature for each cluster (vertical-axis) with circle size indicating normalized intensity value for each channel (horizontal-axis). (E) Number of molecules identified per cluster. This experiment was performed as a duplicate to generate an error bar signifying standard error.
Matlab Umap Package, 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
https://www.bioz.com/result/matlab umap package/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab umap package - by Bioz Stars, 2026-03
90/100 stars
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umap 4.4 matlab package  (MathWorks Inc)
90
MathWorks Inc umap 4.4 matlab package
(A) Schematic of how optical signature is captured. In this specific example, every partition is scanned serially with 10 different channel settings configured for dye classes I, II, and III. Channel settings include distinct excitation wavelength, indicated by colored vertical lines, emission wavelength, indicated by colored rectangles, and photobleaching events. Data generated in each channel is used to assemble an optical signature for each partition composed of fluorescence intensity values, which unambiguously identifies the target captured in 3D partition positions. Sample of data is shown in the table (B) light sheet images with photobleachable (FAM, Bodipy TMR-X, and Cy5) and photostable (Alexa488, HEX, and Atto647N) dyes before and after a brief photobleaching event. Zoomed in micrographs of individual partitions are shown in the corner of images as examples. (C) <t>UMAP</t> visualization of optical signatures for all positive partitions detected by the UltraPCR Imager analysis pipeline followed by clustering <t>using</t> <t>DBScan</t> . (D) Aggregate optical signature for each cluster (vertical-axis) with circle size indicating normalized intensity value for each channel (horizontal-axis). (E) Number of molecules identified per cluster. This experiment was performed as a duplicate to generate an error bar signifying standard error.
Umap 4.4 Matlab Package, 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
https://www.bioz.com/result/umap 4.4 matlab package/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
umap 4.4 matlab package - by Bioz Stars, 2026-03
90/100 stars
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umap  (MathWorks Inc)
90
MathWorks Inc umap
(A) Schematic of how optical signature is captured. In this specific example, every partition is scanned serially with 10 different channel settings configured for dye classes I, II, and III. Channel settings include distinct excitation wavelength, indicated by colored vertical lines, emission wavelength, indicated by colored rectangles, and photobleaching events. Data generated in each channel is used to assemble an optical signature for each partition composed of fluorescence intensity values, which unambiguously identifies the target captured in 3D partition positions. Sample of data is shown in the table (B) light sheet images with photobleachable (FAM, Bodipy TMR-X, and Cy5) and photostable (Alexa488, HEX, and Atto647N) dyes before and after a brief photobleaching event. Zoomed in micrographs of individual partitions are shown in the corner of images as examples. (C) <t>UMAP</t> visualization of optical signatures for all positive partitions detected by the UltraPCR Imager analysis pipeline followed by clustering <t>using</t> <t>DBScan</t> . (D) Aggregate optical signature for each cluster (vertical-axis) with circle size indicating normalized intensity value for each channel (horizontal-axis). (E) Number of molecules identified per cluster. This experiment was performed as a duplicate to generate an error bar signifying standard error.
Umap, 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
https://www.bioz.com/result/umap/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
umap - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
matlab 2018b  (MathWorks Inc)
90
MathWorks Inc matlab 2018b
(A) Schematic of how optical signature is captured. In this specific example, every partition is scanned serially with 10 different channel settings configured for dye classes I, II, and III. Channel settings include distinct excitation wavelength, indicated by colored vertical lines, emission wavelength, indicated by colored rectangles, and photobleaching events. Data generated in each channel is used to assemble an optical signature for each partition composed of fluorescence intensity values, which unambiguously identifies the target captured in 3D partition positions. Sample of data is shown in the table (B) light sheet images with photobleachable (FAM, Bodipy TMR-X, and Cy5) and photostable (Alexa488, HEX, and Atto647N) dyes before and after a brief photobleaching event. Zoomed in micrographs of individual partitions are shown in the corner of images as examples. (C) <t>UMAP</t> visualization of optical signatures for all positive partitions detected by the UltraPCR Imager analysis pipeline followed by clustering <t>using</t> <t>DBScan</t> . (D) Aggregate optical signature for each cluster (vertical-axis) with circle size indicating normalized intensity value for each channel (horizontal-axis). (E) Number of molecules identified per cluster. This experiment was performed as a duplicate to generate an error bar signifying standard error.
Matlab 2018b, 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
https://www.bioz.com/result/matlab 2018b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab 2018b - by Bioz Stars, 2026-03
90/100 stars
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2019b  (MathWorks Inc)
90
MathWorks Inc 2019b
(A) Schematic of how optical signature is captured. In this specific example, every partition is scanned serially with 10 different channel settings configured for dye classes I, II, and III. Channel settings include distinct excitation wavelength, indicated by colored vertical lines, emission wavelength, indicated by colored rectangles, and photobleaching events. Data generated in each channel is used to assemble an optical signature for each partition composed of fluorescence intensity values, which unambiguously identifies the target captured in 3D partition positions. Sample of data is shown in the table (B) light sheet images with photobleachable (FAM, Bodipy TMR-X, and Cy5) and photostable (Alexa488, HEX, and Atto647N) dyes before and after a brief photobleaching event. Zoomed in micrographs of individual partitions are shown in the corner of images as examples. (C) <t>UMAP</t> visualization of optical signatures for all positive partitions detected by the UltraPCR Imager analysis pipeline followed by clustering <t>using</t> <t>DBScan</t> . (D) Aggregate optical signature for each cluster (vertical-axis) with circle size indicating normalized intensity value for each channel (horizontal-axis). (E) Number of molecules identified per cluster. This experiment was performed as a duplicate to generate an error bar signifying standard error.
2019b, 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
https://www.bioz.com/result/2019b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
2019b - by Bioz Stars, 2026-03
90/100 stars
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matlab r2019b  (MathWorks Inc)
90
MathWorks Inc matlab r2019b
(A) Schematic of how optical signature is captured. In this specific example, every partition is scanned serially with 10 different channel settings configured for dye classes I, II, and III. Channel settings include distinct excitation wavelength, indicated by colored vertical lines, emission wavelength, indicated by colored rectangles, and photobleaching events. Data generated in each channel is used to assemble an optical signature for each partition composed of fluorescence intensity values, which unambiguously identifies the target captured in 3D partition positions. Sample of data is shown in the table (B) light sheet images with photobleachable (FAM, Bodipy TMR-X, and Cy5) and photostable (Alexa488, HEX, and Atto647N) dyes before and after a brief photobleaching event. Zoomed in micrographs of individual partitions are shown in the corner of images as examples. (C) <t>UMAP</t> visualization of optical signatures for all positive partitions detected by the UltraPCR Imager analysis pipeline followed by clustering <t>using</t> <t>DBScan</t> . (D) Aggregate optical signature for each cluster (vertical-axis) with circle size indicating normalized intensity value for each channel (horizontal-axis). (E) Number of molecules identified per cluster. This experiment was performed as a duplicate to generate an error bar signifying standard error.
Matlab R2019b, 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
https://www.bioz.com/result/matlab r2019b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab r2019b - by Bioz Stars, 2026-03
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rstudio 1.4.1106  (RStudio)
90
RStudio rstudio 1.4.1106
(A) Schematic of how optical signature is captured. In this specific example, every partition is scanned serially with 10 different channel settings configured for dye classes I, II, and III. Channel settings include distinct excitation wavelength, indicated by colored vertical lines, emission wavelength, indicated by colored rectangles, and photobleaching events. Data generated in each channel is used to assemble an optical signature for each partition composed of fluorescence intensity values, which unambiguously identifies the target captured in 3D partition positions. Sample of data is shown in the table (B) light sheet images with photobleachable (FAM, Bodipy TMR-X, and Cy5) and photostable (Alexa488, HEX, and Atto647N) dyes before and after a brief photobleaching event. Zoomed in micrographs of individual partitions are shown in the corner of images as examples. (C) <t>UMAP</t> visualization of optical signatures for all positive partitions detected by the UltraPCR Imager analysis pipeline followed by clustering <t>using</t> <t>DBScan</t> . (D) Aggregate optical signature for each cluster (vertical-axis) with circle size indicating normalized intensity value for each channel (horizontal-axis). (E) Number of molecules identified per cluster. This experiment was performed as a duplicate to generate an error bar signifying standard error.
Rstudio 1.4.1106, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/rstudio 1.4.1106/product/RStudio
Average 90 stars, based on 1 article reviews
rstudio 1.4.1106 - by Bioz Stars, 2026-03
90/100 stars
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flowjo software v10.0.8  (Tree Star Inc)
90
Tree Star Inc flowjo software v10.0.8
(A) Schematic of how optical signature is captured. In this specific example, every partition is scanned serially with 10 different channel settings configured for dye classes I, II, and III. Channel settings include distinct excitation wavelength, indicated by colored vertical lines, emission wavelength, indicated by colored rectangles, and photobleaching events. Data generated in each channel is used to assemble an optical signature for each partition composed of fluorescence intensity values, which unambiguously identifies the target captured in 3D partition positions. Sample of data is shown in the table (B) light sheet images with photobleachable (FAM, Bodipy TMR-X, and Cy5) and photostable (Alexa488, HEX, and Atto647N) dyes before and after a brief photobleaching event. Zoomed in micrographs of individual partitions are shown in the corner of images as examples. (C) <t>UMAP</t> visualization of optical signatures for all positive partitions detected by the UltraPCR Imager analysis pipeline followed by clustering <t>using</t> <t>DBScan</t> . (D) Aggregate optical signature for each cluster (vertical-axis) with circle size indicating normalized intensity value for each channel (horizontal-axis). (E) Number of molecules identified per cluster. This experiment was performed as a duplicate to generate an error bar signifying standard error.
Flowjo Software V10.0.8, supplied by Tree Star Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/flowjo software v10.0.8/product/Tree Star Inc
Average 90 stars, based on 1 article reviews
flowjo software v10.0.8 - by Bioz Stars, 2026-03
90/100 stars
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Image Search Results


(A) Schematic of how optical signature is captured. In this specific example, every partition is scanned serially with 10 different channel settings configured for dye classes I, II, and III. Channel settings include distinct excitation wavelength, indicated by colored vertical lines, emission wavelength, indicated by colored rectangles, and photobleaching events. Data generated in each channel is used to assemble an optical signature for each partition composed of fluorescence intensity values, which unambiguously identifies the target captured in 3D partition positions. Sample of data is shown in the table (B) light sheet images with photobleachable (FAM, Bodipy TMR-X, and Cy5) and photostable (Alexa488, HEX, and Atto647N) dyes before and after a brief photobleaching event. Zoomed in micrographs of individual partitions are shown in the corner of images as examples. (C) UMAP visualization of optical signatures for all positive partitions detected by the UltraPCR Imager analysis pipeline followed by clustering using DBScan . (D) Aggregate optical signature for each cluster (vertical-axis) with circle size indicating normalized intensity value for each channel (horizontal-axis). (E) Number of molecules identified per cluster. This experiment was performed as a duplicate to generate an error bar signifying standard error.

Journal: bioRxiv

Article Title: New realm of precision multiplexing enabled by massively-parallel single molecule UltraPCR

doi: 10.1101/2023.10.09.561546

Figure Lengend Snippet: (A) Schematic of how optical signature is captured. In this specific example, every partition is scanned serially with 10 different channel settings configured for dye classes I, II, and III. Channel settings include distinct excitation wavelength, indicated by colored vertical lines, emission wavelength, indicated by colored rectangles, and photobleaching events. Data generated in each channel is used to assemble an optical signature for each partition composed of fluorescence intensity values, which unambiguously identifies the target captured in 3D partition positions. Sample of data is shown in the table (B) light sheet images with photobleachable (FAM, Bodipy TMR-X, and Cy5) and photostable (Alexa488, HEX, and Atto647N) dyes before and after a brief photobleaching event. Zoomed in micrographs of individual partitions are shown in the corner of images as examples. (C) UMAP visualization of optical signatures for all positive partitions detected by the UltraPCR Imager analysis pipeline followed by clustering using DBScan . (D) Aggregate optical signature for each cluster (vertical-axis) with circle size indicating normalized intensity value for each channel (horizontal-axis). (E) Number of molecules identified per cluster. This experiment was performed as a duplicate to generate an error bar signifying standard error.

Article Snippet: Multivariable analysis was performed in MATLAB, using a UMAP package for visualization, and DBScan ( ) for clustering.

Techniques: Generated, Fluorescence