Review





Similar Products

99
Oxford Instruments 3d maximum projection images
3d Maximum Projection Images, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/3d+projection+image/pmc12685133-194-0-7?v=Oxford+Instruments
Average 99 stars, based on 1 article reviews
3d maximum projection images - by Bioz Stars, 2026-07
99/100 stars
  Buy from Supplier

99
Oxford Instruments 3d projection images
Patient‐derived lung endothelial cells isolation and transcriptomic characterization. A) Overview of isolation of endothelial cells (ECs) from juxtatumoral tissue of surgical NSCLC samples. B) Patients’ clinical data. C) Hierarchical clustering of bulk RNA‐Seq data of commercial (HMVEC‐L) and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or <t>3D</t> <t>microvessel</t> model ( n = 1 sample per condition). D) Geneset enrichment scores (ssGSEA), computed from bulk RNA‐Seq data of commercial and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or 3D microvessel model, are shown as heatmap ( n = 1 sample per condition). Rows indicate datasets. Columns indicate signatures. As positive dataset control, the pseudo‐bulk data from an in vivo lung endothelial single‐cell RNA‐Seq atlas were used. [ <xref ref-type= 9 ] The first 13 columns correspond to published lung endothelial signatures (four in vitro signatures, nine in vivo signatures) as described in. [ 9 ] As non‐endothelial negative control signatures, fibroblast signatures were used: one normal fibroblast signature and seven cancer‐associated fibroblast (CAF) signatures (CAF‐S1 subtypes). " width="250" height="auto" />
3d Projection Images, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/3d+projection+image/pmc12477576-240-16-22?v=Oxford+Instruments
Average 99 stars, based on 1 article reviews
3d projection images - by Bioz Stars, 2026-07
99/100 stars
  Buy from Supplier

90
Bruker Corporation projection images 3d datasets
Patient‐derived lung endothelial cells isolation and transcriptomic characterization. A) Overview of isolation of endothelial cells (ECs) from juxtatumoral tissue of surgical NSCLC samples. B) Patients’ clinical data. C) Hierarchical clustering of bulk RNA‐Seq data of commercial (HMVEC‐L) and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or <t>3D</t> <t>microvessel</t> model ( n = 1 sample per condition). D) Geneset enrichment scores (ssGSEA), computed from bulk RNA‐Seq data of commercial and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or 3D microvessel model, are shown as heatmap ( n = 1 sample per condition). Rows indicate datasets. Columns indicate signatures. As positive dataset control, the pseudo‐bulk data from an in vivo lung endothelial single‐cell RNA‐Seq atlas were used. [ <xref ref-type= 9 ] The first 13 columns correspond to published lung endothelial signatures (four in vitro signatures, nine in vivo signatures) as described in. [ 9 ] As non‐endothelial negative control signatures, fibroblast signatures were used: one normal fibroblast signature and seven cancer‐associated fibroblast (CAF) signatures (CAF‐S1 subtypes). " width="250" height="auto" />
Projection Images 3d Datasets, 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/product/3d+projection+image/10__1016_slash_j__mtadv__2024__100543-98-5-9?v=Bruker+Corporation
Average 90 stars, based on 1 article reviews
projection images 3d datasets - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

90
Thermo Fisher 2d projections reconstructed into 3d images
Patient‐derived lung endothelial cells isolation and transcriptomic characterization. A) Overview of isolation of endothelial cells (ECs) from juxtatumoral tissue of surgical NSCLC samples. B) Patients’ clinical data. C) Hierarchical clustering of bulk RNA‐Seq data of commercial (HMVEC‐L) and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or <t>3D</t> <t>microvessel</t> model ( n = 1 sample per condition). D) Geneset enrichment scores (ssGSEA), computed from bulk RNA‐Seq data of commercial and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or 3D microvessel model, are shown as heatmap ( n = 1 sample per condition). Rows indicate datasets. Columns indicate signatures. As positive dataset control, the pseudo‐bulk data from an in vivo lung endothelial single‐cell RNA‐Seq atlas were used. [ <xref ref-type= 9 ] The first 13 columns correspond to published lung endothelial signatures (four in vitro signatures, nine in vivo signatures) as described in. [ 9 ] As non‐endothelial negative control signatures, fibroblast signatures were used: one normal fibroblast signature and seven cancer‐associated fibroblast (CAF) signatures (CAF‐S1 subtypes). " width="250" height="auto" />
2d Projections Reconstructed Into 3d Images, supplied by Thermo Fisher, 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/product/3d+projection+image/10__1016_slash_j__compscitech__2024__110907-86-11-12?v=Thermo+Fisher
Average 90 stars, based on 1 article reviews
2d projections reconstructed into 3d images - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

99
Oxford Instruments 3d projected image
Patient‐derived lung endothelial cells isolation and transcriptomic characterization. A) Overview of isolation of endothelial cells (ECs) from juxtatumoral tissue of surgical NSCLC samples. B) Patients’ clinical data. C) Hierarchical clustering of bulk RNA‐Seq data of commercial (HMVEC‐L) and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or <t>3D</t> <t>microvessel</t> model ( n = 1 sample per condition). D) Geneset enrichment scores (ssGSEA), computed from bulk RNA‐Seq data of commercial and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or 3D microvessel model, are shown as heatmap ( n = 1 sample per condition). Rows indicate datasets. Columns indicate signatures. As positive dataset control, the pseudo‐bulk data from an in vivo lung endothelial single‐cell RNA‐Seq atlas were used. [ <xref ref-type= 9 ] The first 13 columns correspond to published lung endothelial signatures (four in vitro signatures, nine in vivo signatures) as described in. [ 9 ] As non‐endothelial negative control signatures, fibroblast signatures were used: one normal fibroblast signature and seven cancer‐associated fibroblast (CAF) signatures (CAF‐S1 subtypes). " width="250" height="auto" />
3d Projected Image, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/3d+projection+image/pm39341202-317-20-27?v=Oxford+Instruments
Average 99 stars, based on 1 article reviews
3d projected image - by Bioz Stars, 2026-07
99/100 stars
  Buy from Supplier

90
Intuitive Surgical Inc 3d image projection
Patient‐derived lung endothelial cells isolation and transcriptomic characterization. A) Overview of isolation of endothelial cells (ECs) from juxtatumoral tissue of surgical NSCLC samples. B) Patients’ clinical data. C) Hierarchical clustering of bulk RNA‐Seq data of commercial (HMVEC‐L) and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or <t>3D</t> <t>microvessel</t> model ( n = 1 sample per condition). D) Geneset enrichment scores (ssGSEA), computed from bulk RNA‐Seq data of commercial and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or 3D microvessel model, are shown as heatmap ( n = 1 sample per condition). Rows indicate datasets. Columns indicate signatures. As positive dataset control, the pseudo‐bulk data from an in vivo lung endothelial single‐cell RNA‐Seq atlas were used. [ <xref ref-type= 9 ] The first 13 columns correspond to published lung endothelial signatures (four in vitro signatures, nine in vivo signatures) as described in. [ 9 ] As non‐endothelial negative control signatures, fibroblast signatures were used: one normal fibroblast signature and seven cancer‐associated fibroblast (CAF) signatures (CAF‐S1 subtypes). " width="250" height="auto" />
3d Image Projection, supplied by Intuitive Surgical 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/product/3d+projection+image/pm39112908-32-4-16?v=Intuitive+Surgical+Inc
Average 90 stars, based on 1 article reviews
3d image projection - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

90
MicrotracBEL gmbh partan 3d (projection image photographing type bead size distribution analyzer)
Patient‐derived lung endothelial cells isolation and transcriptomic characterization. A) Overview of isolation of endothelial cells (ECs) from juxtatumoral tissue of surgical NSCLC samples. B) Patients’ clinical data. C) Hierarchical clustering of bulk RNA‐Seq data of commercial (HMVEC‐L) and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or <t>3D</t> <t>microvessel</t> model ( n = 1 sample per condition). D) Geneset enrichment scores (ssGSEA), computed from bulk RNA‐Seq data of commercial and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or 3D microvessel model, are shown as heatmap ( n = 1 sample per condition). Rows indicate datasets. Columns indicate signatures. As positive dataset control, the pseudo‐bulk data from an in vivo lung endothelial single‐cell RNA‐Seq atlas were used. [ <xref ref-type= 9 ] The first 13 columns correspond to published lung endothelial signatures (four in vitro signatures, nine in vivo signatures) as described in. [ 9 ] As non‐endothelial negative control signatures, fibroblast signatures were used: one normal fibroblast signature and seven cancer‐associated fibroblast (CAF) signatures (CAF‐S1 subtypes). " width="250" height="auto" />
Partan 3d (Projection Image Photographing Type Bead Size Distribution Analyzer), supplied by MicrotracBEL 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/product/3d+projection+image/us11993690-346-18-30?v=MicrotracBEL+gmbh
Average 90 stars, based on 1 article reviews
partan 3d (projection image photographing type bead size distribution analyzer) - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

99
Oxford Instruments 231 image analyses 232 light sheet imaging 233 3d projections
Patient‐derived lung endothelial cells isolation and transcriptomic characterization. A) Overview of isolation of endothelial cells (ECs) from juxtatumoral tissue of surgical NSCLC samples. B) Patients’ clinical data. C) Hierarchical clustering of bulk RNA‐Seq data of commercial (HMVEC‐L) and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or <t>3D</t> <t>microvessel</t> model ( n = 1 sample per condition). D) Geneset enrichment scores (ssGSEA), computed from bulk RNA‐Seq data of commercial and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or 3D microvessel model, are shown as heatmap ( n = 1 sample per condition). Rows indicate datasets. Columns indicate signatures. As positive dataset control, the pseudo‐bulk data from an in vivo lung endothelial single‐cell RNA‐Seq atlas were used. [ <xref ref-type= 9 ] The first 13 columns correspond to published lung endothelial signatures (four in vitro signatures, nine in vivo signatures) as described in. [ 9 ] As non‐endothelial negative control signatures, fibroblast signatures were used: one normal fibroblast signature and seven cancer‐associated fibroblast (CAF) signatures (CAF‐S1 subtypes). " width="250" height="auto" />
231 Image Analyses 232 Light Sheet Imaging 233 3d Projections, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/3d+projection+image/ppr0836760-157-0-13?v=Oxford+Instruments
Average 99 stars, based on 1 article reviews
231 image analyses 232 light sheet imaging 233 3d projections - by Bioz Stars, 2026-07
99/100 stars
  Buy from Supplier

90
Human Protein Atlas tissue 3d volume projection images
Patient‐derived lung endothelial cells isolation and transcriptomic characterization. A) Overview of isolation of endothelial cells (ECs) from juxtatumoral tissue of surgical NSCLC samples. B) Patients’ clinical data. C) Hierarchical clustering of bulk RNA‐Seq data of commercial (HMVEC‐L) and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or <t>3D</t> <t>microvessel</t> model ( n = 1 sample per condition). D) Geneset enrichment scores (ssGSEA), computed from bulk RNA‐Seq data of commercial and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or 3D microvessel model, are shown as heatmap ( n = 1 sample per condition). Rows indicate datasets. Columns indicate signatures. As positive dataset control, the pseudo‐bulk data from an in vivo lung endothelial single‐cell RNA‐Seq atlas were used. [ <xref ref-type= 9 ] The first 13 columns correspond to published lung endothelial signatures (four in vitro signatures, nine in vivo signatures) as described in. [ 9 ] As non‐endothelial negative control signatures, fibroblast signatures were used: one normal fibroblast signature and seven cancer‐associated fibroblast (CAF) signatures (CAF‐S1 subtypes). " width="250" height="auto" />
Tissue 3d Volume Projection Images, supplied by Human Protein Atlas, 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/product/3d+projection+image/pmc11142747__jci___134___174558___s184-353-10-3?v=Human+Protein+Atlas
Average 90 stars, based on 1 article reviews
tissue 3d volume projection images - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

Image Search Results


Patient‐derived lung endothelial cells isolation and transcriptomic characterization. A) Overview of isolation of endothelial cells (ECs) from juxtatumoral tissue of surgical NSCLC samples. B) Patients’ clinical data. C) Hierarchical clustering of bulk RNA‐Seq data of commercial (HMVEC‐L) and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or 3D microvessel model ( n = 1 sample per condition). D) Geneset enrichment scores (ssGSEA), computed from bulk RNA‐Seq data of commercial and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or 3D microvessel model, are shown as heatmap ( n = 1 sample per condition). Rows indicate datasets. Columns indicate signatures. As positive dataset control, the pseudo‐bulk data from an in vivo lung endothelial single‐cell RNA‐Seq atlas were used. [ <xref ref-type= 9 ] The first 13 columns correspond to published lung endothelial signatures (four in vitro signatures, nine in vivo signatures) as described in. [ 9 ] As non‐endothelial negative control signatures, fibroblast signatures were used: one normal fibroblast signature and seven cancer‐associated fibroblast (CAF) signatures (CAF‐S1 subtypes). " width="100%" height="100%">

Journal: Advanced Healthcare Materials

Article Title: Bioengineering a Patient‐Derived Vascularized Lung Tumor‐on‐Chip Model to Decipher Immunomodulation by the Endothelium

doi: 10.1002/adhm.202403446

Figure Lengend Snippet: Patient‐derived lung endothelial cells isolation and transcriptomic characterization. A) Overview of isolation of endothelial cells (ECs) from juxtatumoral tissue of surgical NSCLC samples. B) Patients’ clinical data. C) Hierarchical clustering of bulk RNA‐Seq data of commercial (HMVEC‐L) and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or 3D microvessel model ( n = 1 sample per condition). D) Geneset enrichment scores (ssGSEA), computed from bulk RNA‐Seq data of commercial and patient‐derived (patient #11) lung ECs, in standard 2D monolayer culture or 3D microvessel model, are shown as heatmap ( n = 1 sample per condition). Rows indicate datasets. Columns indicate signatures. As positive dataset control, the pseudo‐bulk data from an in vivo lung endothelial single‐cell RNA‐Seq atlas were used. [ 9 ] The first 13 columns correspond to published lung endothelial signatures (four in vitro signatures, nine in vivo signatures) as described in. [ 9 ] As non‐endothelial negative control signatures, fibroblast signatures were used: one normal fibroblast signature and seven cancer‐associated fibroblast (CAF) signatures (CAF‐S1 subtypes).

Article Snippet: Approximately 250 consecutive serial sections (each 2 μm thick) were recorded for each microvessel, from which 3D projection images were generated using IMARIS (v9.0.2, Bitplane, USA) or FIJI software.

Techniques: Derivative Assay, Isolation, RNA Sequencing, Control, In Vivo, In Vitro, Negative Control

Phenotypic and functional characterization of engineered patient‐derived lung microvessels. A) Confocal imaging of engineered vessels. Representative images of VE‐cadherin (red), ZO‐1 (green), and Hoechst 33342 (blue) staining on a vessel generated with patient‐derived ECs (patient #4) after 24 h culture (left panel). Representative 3D projection (HMVEC‐L cells, right panel, see also Movie , Supporting Information). Scale bar = 50 µm. B) Microvessel permeability. Endothelial barrier apparent permeability (Papp) was determined by FITC‐dextran (70 kDa) permeability assay. Commercial lung endothelial HMVEC‐L cells and acellular collagen served as positive and negative controls, respectively. The mean ± standard error of the mean (SEM) are shown. Each point represents an independent microvessel, n = 4–6 per condition. Data distribution was assessed using the Shapiro–Wilk test and did not meet the assumption of normality; consequently, statistical analysis was conducted using the Kruskal–Wallis test followed by Dunn's multiple comparisons test. ns = not significant, * = p < 0.05, ** = p < 0.01, *** = p < 0.001. C) Activation by TNF‐α. mRNA levels of ICAM‐1, VCAM‐1, and E‐selectin in lung microvessels were analyzed by mRNA under resting conditions and after activation with TNF‐α (100 ng mL −1 for 4 h). Commercial lung endothelial HMVEC‐L cells served as positive control. The housekeeping β2‐microglobuline (B2M) gene was used to normalize RNA contents. Relative expression = 2 −∆∆Ct . Mean 2 −∆∆Ct is presented ± SEM, n = 4 independent microvessels per condition. Data distribution was assessed using the Shapiro–Wilk test and did not meet the assumption of normality; consequently, statistical analysis was conducted using Mann–Whitney test. ns = not significant, * = p < 0.05, ** = p < 0.01, *** = p < 0.001. D) Leucocyte adhesion assays. Adhesion assays were carried out by perfusing fluorescently labelled Jurkat T lymphocytes on resting or TNF‐α treated lung microvessels. Scale bars = 50 µm. E) Quantifications of adhesion assays. Number of firmly adherent T‐lymphocytes was quantified per area. The mean ± SEM are shown, n = 3–4 independent microvessels per condition. Commercial lung endothelial HMVEC‐L cells served as positive control. Data distribution was assessed using the Shapiro–Wilk test and met the assumption of normality; consequently, statistical analysis was conducted using one‐way ANOVA Tukey's multiple comparisons test. ns = not significant, * = p < 0.05, ** = p < 0.01, *** = p < 0.001.

Journal: Advanced Healthcare Materials

Article Title: Bioengineering a Patient‐Derived Vascularized Lung Tumor‐on‐Chip Model to Decipher Immunomodulation by the Endothelium

doi: 10.1002/adhm.202403446

Figure Lengend Snippet: Phenotypic and functional characterization of engineered patient‐derived lung microvessels. A) Confocal imaging of engineered vessels. Representative images of VE‐cadherin (red), ZO‐1 (green), and Hoechst 33342 (blue) staining on a vessel generated with patient‐derived ECs (patient #4) after 24 h culture (left panel). Representative 3D projection (HMVEC‐L cells, right panel, see also Movie , Supporting Information). Scale bar = 50 µm. B) Microvessel permeability. Endothelial barrier apparent permeability (Papp) was determined by FITC‐dextran (70 kDa) permeability assay. Commercial lung endothelial HMVEC‐L cells and acellular collagen served as positive and negative controls, respectively. The mean ± standard error of the mean (SEM) are shown. Each point represents an independent microvessel, n = 4–6 per condition. Data distribution was assessed using the Shapiro–Wilk test and did not meet the assumption of normality; consequently, statistical analysis was conducted using the Kruskal–Wallis test followed by Dunn's multiple comparisons test. ns = not significant, * = p < 0.05, ** = p < 0.01, *** = p < 0.001. C) Activation by TNF‐α. mRNA levels of ICAM‐1, VCAM‐1, and E‐selectin in lung microvessels were analyzed by mRNA under resting conditions and after activation with TNF‐α (100 ng mL −1 for 4 h). Commercial lung endothelial HMVEC‐L cells served as positive control. The housekeeping β2‐microglobuline (B2M) gene was used to normalize RNA contents. Relative expression = 2 −∆∆Ct . Mean 2 −∆∆Ct is presented ± SEM, n = 4 independent microvessels per condition. Data distribution was assessed using the Shapiro–Wilk test and did not meet the assumption of normality; consequently, statistical analysis was conducted using Mann–Whitney test. ns = not significant, * = p < 0.05, ** = p < 0.01, *** = p < 0.001. D) Leucocyte adhesion assays. Adhesion assays were carried out by perfusing fluorescently labelled Jurkat T lymphocytes on resting or TNF‐α treated lung microvessels. Scale bars = 50 µm. E) Quantifications of adhesion assays. Number of firmly adherent T‐lymphocytes was quantified per area. The mean ± SEM are shown, n = 3–4 independent microvessels per condition. Commercial lung endothelial HMVEC‐L cells served as positive control. Data distribution was assessed using the Shapiro–Wilk test and met the assumption of normality; consequently, statistical analysis was conducted using one‐way ANOVA Tukey's multiple comparisons test. ns = not significant, * = p < 0.05, ** = p < 0.01, *** = p < 0.001.

Article Snippet: Approximately 250 consecutive serial sections (each 2 μm thick) were recorded for each microvessel, from which 3D projection images were generated using IMARIS (v9.0.2, Bitplane, USA) or FIJI software.

Techniques: Functional Assay, Derivative Assay, Imaging, Staining, Generated, Permeability, Activation Assay, Positive Control, Expressing, MANN-WHITNEY