online open-source software plot digitizer Search Results


94
Quanser Consulting aero 2
Aero 2, supplied by Quanser Consulting, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/aero 2/product/Quanser Consulting
Average 94 stars, based on 1 article reviews
aero 2 - by Bioz Stars, 2026-04
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95
Glencoe Software Inc open source digital online pathology platform omero
Fig. 2: OPTIMAL analysis of single cells in COVID19 PM lung tissue reveals a progressive loss of lung air space leading to elevated cellularity due to tissue obliteration rather than a de novo cellular influx. a) PM lung tissue slides were stained with a panel of 40 metal tagged antibodies alongside an additional control TMA slide (1). The pathologist-marked ROIs were then set using an <t>OMERO</t> reference image and ablated using a Hyperion IMC system (2) to produce a set of 41 multispectral images (3) that were segmented to single cell data (4), corrected for spill-over and other factors that could affect clarity (5) and converted to FCS file format with additional key metadata added (6). Batch effect was determined and corrected for using a z-score normalisation approach (7). b) A PacMap dimensionality reduction plot for all 901,602 single cells representing ∼195 mm2 of COVID19 PM lung tissue. c) Cell counts per mm2 of the ablated ROI area for each of the 8 pathology classes. d) A graph showing the % of air space within each ROI as a function of pathology class. e) A graph of the cell counts per mm2
Open Source Digital Online Pathology Platform Omero, supplied by Glencoe Software Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/open source digital online pathology platform omero/product/Glencoe Software Inc
Average 95 stars, based on 1 article reviews
open source digital online pathology platform omero - by Bioz Stars, 2026-04
95/100 stars
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90
JBoss Inc workflow engine jboss jbpm19
Fig. 2: OPTIMAL analysis of single cells in COVID19 PM lung tissue reveals a progressive loss of lung air space leading to elevated cellularity due to tissue obliteration rather than a de novo cellular influx. a) PM lung tissue slides were stained with a panel of 40 metal tagged antibodies alongside an additional control TMA slide (1). The pathologist-marked ROIs were then set using an <t>OMERO</t> reference image and ablated using a Hyperion IMC system (2) to produce a set of 41 multispectral images (3) that were segmented to single cell data (4), corrected for spill-over and other factors that could affect clarity (5) and converted to FCS file format with additional key metadata added (6). Batch effect was determined and corrected for using a z-score normalisation approach (7). b) A PacMap dimensionality reduction plot for all 901,602 single cells representing ∼195 mm2 of COVID19 PM lung tissue. c) Cell counts per mm2 of the ablated ROI area for each of the 8 pathology classes. d) A graph showing the % of air space within each ROI as a function of pathology class. e) A graph of the cell counts per mm2
Workflow Engine Jboss Jbpm19, supplied by JBoss 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/workflow engine jboss jbpm19/product/JBoss Inc
Average 90 stars, based on 1 article reviews
workflow engine jboss jbpm19 - by Bioz Stars, 2026-04
90/100 stars
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90
SourceForge net plot digitizer
Fig. 2: OPTIMAL analysis of single cells in COVID19 PM lung tissue reveals a progressive loss of lung air space leading to elevated cellularity due to tissue obliteration rather than a de novo cellular influx. a) PM lung tissue slides were stained with a panel of 40 metal tagged antibodies alongside an additional control TMA slide (1). The pathologist-marked ROIs were then set using an <t>OMERO</t> reference image and ablated using a Hyperion IMC system (2) to produce a set of 41 multispectral images (3) that were segmented to single cell data (4), corrected for spill-over and other factors that could affect clarity (5) and converted to FCS file format with additional key metadata added (6). Batch effect was determined and corrected for using a z-score normalisation approach (7). b) A PacMap dimensionality reduction plot for all 901,602 single cells representing ∼195 mm2 of COVID19 PM lung tissue. c) Cell counts per mm2 of the ablated ROI area for each of the 8 pathology classes. d) A graph showing the % of air space within each ROI as a function of pathology class. e) A graph of the cell counts per mm2
Plot Digitizer, supplied by SourceForge net, 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/plot digitizer/product/SourceForge net
Average 90 stars, based on 1 article reviews
plot digitizer - by Bioz Stars, 2026-04
90/100 stars
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90
FOSS GmbH free and open-source software (foss)
Fig. 2: OPTIMAL analysis of single cells in COVID19 PM lung tissue reveals a progressive loss of lung air space leading to elevated cellularity due to tissue obliteration rather than a de novo cellular influx. a) PM lung tissue slides were stained with a panel of 40 metal tagged antibodies alongside an additional control TMA slide (1). The pathologist-marked ROIs were then set using an <t>OMERO</t> reference image and ablated using a Hyperion IMC system (2) to produce a set of 41 multispectral images (3) that were segmented to single cell data (4), corrected for spill-over and other factors that could affect clarity (5) and converted to FCS file format with additional key metadata added (6). Batch effect was determined and corrected for using a z-score normalisation approach (7). b) A PacMap dimensionality reduction plot for all 901,602 single cells representing ∼195 mm2 of COVID19 PM lung tissue. c) Cell counts per mm2 of the ablated ROI area for each of the 8 pathology classes. d) A graph showing the % of air space within each ROI as a function of pathology class. e) A graph of the cell counts per mm2
Free And Open Source Software (Foss), supplied by FOSS GmbH, 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/free and open-source software (foss)/product/FOSS GmbH
Average 90 stars, based on 1 article reviews
free and open-source software (foss) - by Bioz Stars, 2026-04
90/100 stars
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98
MathWorks Inc biosig toolbox
Fig. 2: OPTIMAL analysis of single cells in COVID19 PM lung tissue reveals a progressive loss of lung air space leading to elevated cellularity due to tissue obliteration rather than a de novo cellular influx. a) PM lung tissue slides were stained with a panel of 40 metal tagged antibodies alongside an additional control TMA slide (1). The pathologist-marked ROIs were then set using an <t>OMERO</t> reference image and ablated using a Hyperion IMC system (2) to produce a set of 41 multispectral images (3) that were segmented to single cell data (4), corrected for spill-over and other factors that could affect clarity (5) and converted to FCS file format with additional key metadata added (6). Batch effect was determined and corrected for using a z-score normalisation approach (7). b) A PacMap dimensionality reduction plot for all 901,602 single cells representing ∼195 mm2 of COVID19 PM lung tissue. c) Cell counts per mm2 of the ablated ROI area for each of the 8 pathology classes. d) A graph showing the % of air space within each ROI as a function of pathology class. e) A graph of the cell counts per mm2
Biosig Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/biosig toolbox/product/MathWorks Inc
Average 98 stars, based on 1 article reviews
biosig toolbox - by Bioz Stars, 2026-04
98/100 stars
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90
Bruker Corporation prototype instrument control software
Fig. 2: OPTIMAL analysis of single cells in COVID19 PM lung tissue reveals a progressive loss of lung air space leading to elevated cellularity due to tissue obliteration rather than a de novo cellular influx. a) PM lung tissue slides were stained with a panel of 40 metal tagged antibodies alongside an additional control TMA slide (1). The pathologist-marked ROIs were then set using an <t>OMERO</t> reference image and ablated using a Hyperion IMC system (2) to produce a set of 41 multispectral images (3) that were segmented to single cell data (4), corrected for spill-over and other factors that could affect clarity (5) and converted to FCS file format with additional key metadata added (6). Batch effect was determined and corrected for using a z-score normalisation approach (7). b) A PacMap dimensionality reduction plot for all 901,602 single cells representing ∼195 mm2 of COVID19 PM lung tissue. c) Cell counts per mm2 of the ablated ROI area for each of the 8 pathology classes. d) A graph showing the % of air space within each ROI as a function of pathology class. e) A graph of the cell counts per mm2
Prototype Instrument Control Software, supplied by Bruker Corporation, 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/prototype instrument control software/product/Bruker Corporation
Average 90 stars, based on 1 article reviews
prototype instrument control software - by Bioz Stars, 2026-04
90/100 stars
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90
PrimerDesign Inc primer explores v.4
Fig. 2: OPTIMAL analysis of single cells in COVID19 PM lung tissue reveals a progressive loss of lung air space leading to elevated cellularity due to tissue obliteration rather than a de novo cellular influx. a) PM lung tissue slides were stained with a panel of 40 metal tagged antibodies alongside an additional control TMA slide (1). The pathologist-marked ROIs were then set using an <t>OMERO</t> reference image and ablated using a Hyperion IMC system (2) to produce a set of 41 multispectral images (3) that were segmented to single cell data (4), corrected for spill-over and other factors that could affect clarity (5) and converted to FCS file format with additional key metadata added (6). Batch effect was determined and corrected for using a z-score normalisation approach (7). b) A PacMap dimensionality reduction plot for all 901,602 single cells representing ∼195 mm2 of COVID19 PM lung tissue. c) Cell counts per mm2 of the ablated ROI area for each of the 8 pathology classes. d) A graph showing the % of air space within each ROI as a function of pathology class. e) A graph of the cell counts per mm2
Primer Explores V.4, supplied by PrimerDesign 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/primer explores v.4/product/PrimerDesign Inc
Average 90 stars, based on 1 article reviews
primer explores v.4 - by Bioz Stars, 2026-04
90/100 stars
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90
AAT Bioquest open-source software
Fig. 2: OPTIMAL analysis of single cells in COVID19 PM lung tissue reveals a progressive loss of lung air space leading to elevated cellularity due to tissue obliteration rather than a de novo cellular influx. a) PM lung tissue slides were stained with a panel of 40 metal tagged antibodies alongside an additional control TMA slide (1). The pathologist-marked ROIs were then set using an <t>OMERO</t> reference image and ablated using a Hyperion IMC system (2) to produce a set of 41 multispectral images (3) that were segmented to single cell data (4), corrected for spill-over and other factors that could affect clarity (5) and converted to FCS file format with additional key metadata added (6). Batch effect was determined and corrected for using a z-score normalisation approach (7). b) A PacMap dimensionality reduction plot for all 901,602 single cells representing ∼195 mm2 of COVID19 PM lung tissue. c) Cell counts per mm2 of the ablated ROI area for each of the 8 pathology classes. d) A graph showing the % of air space within each ROI as a function of pathology class. e) A graph of the cell counts per mm2
Open Source Software, supplied by AAT Bioquest, 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/open-source software/product/AAT Bioquest
Average 90 stars, based on 1 article reviews
open-source software - by Bioz Stars, 2026-04
90/100 stars
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90
Open Geospatial Consortium free and open-source software for geospatial applications (foss4g)
Fig. 2: OPTIMAL analysis of single cells in COVID19 PM lung tissue reveals a progressive loss of lung air space leading to elevated cellularity due to tissue obliteration rather than a de novo cellular influx. a) PM lung tissue slides were stained with a panel of 40 metal tagged antibodies alongside an additional control TMA slide (1). The pathologist-marked ROIs were then set using an <t>OMERO</t> reference image and ablated using a Hyperion IMC system (2) to produce a set of 41 multispectral images (3) that were segmented to single cell data (4), corrected for spill-over and other factors that could affect clarity (5) and converted to FCS file format with additional key metadata added (6). Batch effect was determined and corrected for using a z-score normalisation approach (7). b) A PacMap dimensionality reduction plot for all 901,602 single cells representing ∼195 mm2 of COVID19 PM lung tissue. c) Cell counts per mm2 of the ablated ROI area for each of the 8 pathology classes. d) A graph showing the % of air space within each ROI as a function of pathology class. e) A graph of the cell counts per mm2
Free And Open Source Software For Geospatial Applications (Foss4g), supplied by Open Geospatial Consortium, 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/free and open-source software for geospatial applications (foss4g)/product/Open Geospatial Consortium
Average 90 stars, based on 1 article reviews
free and open-source software for geospatial applications (foss4g) - by Bioz Stars, 2026-04
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90
SourceForge net generalized mdr software package gmdr software beta version 0.7
Fig. 2: OPTIMAL analysis of single cells in COVID19 PM lung tissue reveals a progressive loss of lung air space leading to elevated cellularity due to tissue obliteration rather than a de novo cellular influx. a) PM lung tissue slides were stained with a panel of 40 metal tagged antibodies alongside an additional control TMA slide (1). The pathologist-marked ROIs were then set using an <t>OMERO</t> reference image and ablated using a Hyperion IMC system (2) to produce a set of 41 multispectral images (3) that were segmented to single cell data (4), corrected for spill-over and other factors that could affect clarity (5) and converted to FCS file format with additional key metadata added (6). Batch effect was determined and corrected for using a z-score normalisation approach (7). b) A PacMap dimensionality reduction plot for all 901,602 single cells representing ∼195 mm2 of COVID19 PM lung tissue. c) Cell counts per mm2 of the ablated ROI area for each of the 8 pathology classes. d) A graph showing the % of air space within each ROI as a function of pathology class. e) A graph of the cell counts per mm2
Generalized Mdr Software Package Gmdr Software Beta Version 0.7, supplied by SourceForge net, 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/generalized mdr software package gmdr software beta version 0.7/product/SourceForge net
Average 90 stars, based on 1 article reviews
generalized mdr software package gmdr software beta version 0.7 - by Bioz Stars, 2026-04
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90
MathWorks Inc masked prime toolbox
Fig. 2: OPTIMAL analysis of single cells in COVID19 PM lung tissue reveals a progressive loss of lung air space leading to elevated cellularity due to tissue obliteration rather than a de novo cellular influx. a) PM lung tissue slides were stained with a panel of 40 metal tagged antibodies alongside an additional control TMA slide (1). The pathologist-marked ROIs were then set using an <t>OMERO</t> reference image and ablated using a Hyperion IMC system (2) to produce a set of 41 multispectral images (3) that were segmented to single cell data (4), corrected for spill-over and other factors that could affect clarity (5) and converted to FCS file format with additional key metadata added (6). Batch effect was determined and corrected for using a z-score normalisation approach (7). b) A PacMap dimensionality reduction plot for all 901,602 single cells representing ∼195 mm2 of COVID19 PM lung tissue. c) Cell counts per mm2 of the ablated ROI area for each of the 8 pathology classes. d) A graph showing the % of air space within each ROI as a function of pathology class. e) A graph of the cell counts per mm2
Masked Prime Toolbox, 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/masked prime toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
masked prime toolbox - by Bioz Stars, 2026-04
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Image Search Results


Fig. 2: OPTIMAL analysis of single cells in COVID19 PM lung tissue reveals a progressive loss of lung air space leading to elevated cellularity due to tissue obliteration rather than a de novo cellular influx. a) PM lung tissue slides were stained with a panel of 40 metal tagged antibodies alongside an additional control TMA slide (1). The pathologist-marked ROIs were then set using an OMERO reference image and ablated using a Hyperion IMC system (2) to produce a set of 41 multispectral images (3) that were segmented to single cell data (4), corrected for spill-over and other factors that could affect clarity (5) and converted to FCS file format with additional key metadata added (6). Batch effect was determined and corrected for using a z-score normalisation approach (7). b) A PacMap dimensionality reduction plot for all 901,602 single cells representing ∼195 mm2 of COVID19 PM lung tissue. c) Cell counts per mm2 of the ablated ROI area for each of the 8 pathology classes. d) A graph showing the % of air space within each ROI as a function of pathology class. e) A graph of the cell counts per mm2

Journal: EBioMedicine

Article Title: Distinct lung cell signatures define the temporal evolution of diffuse alveolar damage in fatal COVID-19.

doi: 10.1016/j.ebiom.2023.104945

Figure Lengend Snippet: Fig. 2: OPTIMAL analysis of single cells in COVID19 PM lung tissue reveals a progressive loss of lung air space leading to elevated cellularity due to tissue obliteration rather than a de novo cellular influx. a) PM lung tissue slides were stained with a panel of 40 metal tagged antibodies alongside an additional control TMA slide (1). The pathologist-marked ROIs were then set using an OMERO reference image and ablated using a Hyperion IMC system (2) to produce a set of 41 multispectral images (3) that were segmented to single cell data (4), corrected for spill-over and other factors that could affect clarity (5) and converted to FCS file format with additional key metadata added (6). Batch effect was determined and corrected for using a z-score normalisation approach (7). b) A PacMap dimensionality reduction plot for all 901,602 single cells representing ∼195 mm2 of COVID19 PM lung tissue. c) Cell counts per mm2 of the ablated ROI area for each of the 8 pathology classes. d) A graph showing the % of air space within each ROI as a function of pathology class. e) A graph of the cell counts per mm2

Article Snippet: The H&E-stained primary slide from each serial deck was scanned onto the open-source digital online pathology platform OMERO (‘The Open Microscopy Environment’).

Techniques: Staining, Control