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id7000 spectral cell analyzer  (Sony Biotechnology)


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    Structured Review

    Sony Biotechnology id7000 spectral cell analyzer
    Id7000 Spectral Cell Analyzer, supplied by Sony Biotechnology, used in various techniques. Bioz Stars score: 99/100, based on 655 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/id7000 spectral cell analyzer/product/Sony Biotechnology
    Average 99 stars, based on 655 article reviews
    id7000 spectral cell analyzer - by Bioz Stars, 2026-06
    99/100 stars

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    Assessing spectral resolvability of metabolic probes for multiparametric <t>cytometry</t> (A) Experimental workflow for evaluating probe co-detection. (B and D) Representative density plots demonstrating spectral overlap for pairwise probe combinations within the (B) FITC and (D) PE channel. (C and E) Complementary validation matrices showing computational spectral similarity scores from FluoroFinder (lower left quadrant) versus empirical resolvability determined by unmixing (upper right quadrant). Gray indicates non-resolvable pairs; colored tiles indicate resolvable pairs (C, green; E, red).
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    ( a ) UMAP plot shows individual clusters in CD45 hi leukocytes from brains of male E4 WT , E4 Δ+32 , TE4 WT , and TE4 Δ+32 mice. ( b ) Dot plot identifies 11 clusters of leukocytes. ( c ) Representative flow <t>cytometry</t> plot confirms the identity of different leukocyte populations. ( d ) UMAP (left) plot reveals the population shift comparing the four strains of mice. Bar graph (right) shows the frequency of cells populating individual clusters. ( e ) Representative flow cytometry analysis identifying lymphocytes including conventional T cells (CD4 T cells and CD8 T cells), NK cells, and NKT cells in hippocampus and cortex of brains from 9.5-month-old male E4 WT , E4 Δ+32 , TE4 WT , and TE4 Δ+32 mice. ( f-k ) Frequency of CD45 hi ( f ), αβ T cells ( g ), CD4 T cells ( h ), CD8 T cells ( i ), NK cells ( j ), and NKT cells ( k ) from hippocampus and cortex from 9.5-month-old male E4 WT (n=14), E4 Δ+32 (n=11), TE4 WT (n=17), and TE4 Δ+32 (n=15) mice. ( l ) Representative immunofluorescence images of T cell accumulation in hippocampal regions of brains from the four strains of male mice. The hippocampal sections were stained with CD3 (Green), CD4 (Red), CD8 (Magenta), and IBA1 (Blue). Scale bar: 40μm. ( m-p ) Data summarizes the number of the CD3+ total T cells ( m ), CD8+ T cells ( n ), CD4+ T cells ( o ), and CD3+CD4-CD8- T cells ( p ) within the hippocampus. Male E4 WT (n=7), male E4 Δ+32 (n=9), male TE4 WT (n=19), and male TE4 Δ+32 (n=21). Data are presented as mean values ± SEMs. Statistical significance was defined using two-way ANOVA with Šídák’s multiple comparisons test ( f-k ) and unpaired student t test, two tailed ( m-p ). P value (actual value) was indicated in the figure. ****P<0.0001; NS, no significance.
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    ( a ) UMAP plot shows individual clusters in CD45 hi leukocytes from brains of male E4 WT , E4 Δ+32 , TE4 WT , and TE4 Δ+32 mice. ( b ) Dot plot identifies 11 clusters of leukocytes. ( c ) Representative flow <t>cytometry</t> plot confirms the identity of different leukocyte populations. ( d ) UMAP (left) plot reveals the population shift comparing the four strains of mice. Bar graph (right) shows the frequency of cells populating individual clusters. ( e ) Representative flow cytometry analysis identifying lymphocytes including conventional T cells (CD4 T cells and CD8 T cells), NK cells, and NKT cells in hippocampus and cortex of brains from 9.5-month-old male E4 WT , E4 Δ+32 , TE4 WT , and TE4 Δ+32 mice. ( f-k ) Frequency of CD45 hi ( f ), αβ T cells ( g ), CD4 T cells ( h ), CD8 T cells ( i ), NK cells ( j ), and NKT cells ( k ) from hippocampus and cortex from 9.5-month-old male E4 WT (n=14), E4 Δ+32 (n=11), TE4 WT (n=17), and TE4 Δ+32 (n=15) mice. ( l ) Representative immunofluorescence images of T cell accumulation in hippocampal regions of brains from the four strains of male mice. The hippocampal sections were stained with CD3 (Green), CD4 (Red), CD8 (Magenta), and IBA1 (Blue). Scale bar: 40μm. ( m-p ) Data summarizes the number of the CD3+ total T cells ( m ), CD8+ T cells ( n ), CD4+ T cells ( o ), and CD3+CD4-CD8- T cells ( p ) within the hippocampus. Male E4 WT (n=7), male E4 Δ+32 (n=9), male TE4 WT (n=19), and male TE4 Δ+32 (n=21). Data are presented as mean values ± SEMs. Statistical significance was defined using two-way ANOVA with Šídák’s multiple comparisons test ( f-k ) and unpaired student t test, two tailed ( m-p ). P value (actual value) was indicated in the figure. ****P<0.0001; NS, no significance.
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    Image Search Results


    Assessing spectral resolvability of metabolic probes for multiparametric cytometry (A) Experimental workflow for evaluating probe co-detection. (B and D) Representative density plots demonstrating spectral overlap for pairwise probe combinations within the (B) FITC and (D) PE channel. (C and E) Complementary validation matrices showing computational spectral similarity scores from FluoroFinder (lower left quadrant) versus empirical resolvability determined by unmixing (upper right quadrant). Gray indicates non-resolvable pairs; colored tiles indicate resolvable pairs (C, green; E, red).

    Journal: Cell Reports Methods

    Article Title: Application of spectral flow cytometry for comprehensive detection of immune metabolism in patient-derived microsamples

    doi: 10.1016/j.crmeth.2026.101330

    Figure Lengend Snippet: Assessing spectral resolvability of metabolic probes for multiparametric cytometry (A) Experimental workflow for evaluating probe co-detection. (B and D) Representative density plots demonstrating spectral overlap for pairwise probe combinations within the (B) FITC and (D) PE channel. (C and E) Complementary validation matrices showing computational spectral similarity scores from FluoroFinder (lower left quadrant) versus empirical resolvability determined by unmixing (upper right quadrant). Gray indicates non-resolvable pairs; colored tiles indicate resolvable pairs (C, green; E, red).

    Article Snippet: Cells were washed and then acquired by full spectrum flow cytometry (SONY ID7000).

    Techniques: Cytometry, Biomarker Discovery

    Validation framework for spectral co-resolvability of metabolic probes and fluorophore conjugates (A) Experimental workflow for co-detection assessment. (B, D, and F) Representative flow cytometry density plots demonstrating pairwise mixing between metabolic probes and fluorophores in the (B) FITC/AF488, (D) PE, and (F) APC/AF647 channel. (C, E, and G) Validation matrices per channel: upper, computational spectral similarity by FluoroFinder; lower, empirically determined resolvability. Gray tiles indicate non-resolvable pairs; colored tiles confirm resolvable pairs. (C) FITC/AF488, green; (E) PE, red; and (G) APC/AF647, blue.

    Journal: Cell Reports Methods

    Article Title: Application of spectral flow cytometry for comprehensive detection of immune metabolism in patient-derived microsamples

    doi: 10.1016/j.crmeth.2026.101330

    Figure Lengend Snippet: Validation framework for spectral co-resolvability of metabolic probes and fluorophore conjugates (A) Experimental workflow for co-detection assessment. (B, D, and F) Representative flow cytometry density plots demonstrating pairwise mixing between metabolic probes and fluorophores in the (B) FITC/AF488, (D) PE, and (F) APC/AF647 channel. (C, E, and G) Validation matrices per channel: upper, computational spectral similarity by FluoroFinder; lower, empirically determined resolvability. Gray tiles indicate non-resolvable pairs; colored tiles confirm resolvable pairs. (C) FITC/AF488, green; (E) PE, red; and (G) APC/AF647, blue.

    Article Snippet: Cells were washed and then acquired by full spectrum flow cytometry (SONY ID7000).

    Techniques: Biomarker Discovery, Flow Cytometry

    Validation of three metabolic probes for simultaneous assessment of mitochondrial activity and oxidative stress (A) Representative flow cytometry density plots demonstrating spectral resolution of co-stained probes. (B) Validation matrix: lower left quadrant, computational spectral similarity by FluoroFinder; upper right quadrant, empirical resolvability determination (red: resolvable pairs). (C) Mean fluorescence intensity (MFI; mean ± SD) of individual probes in control versus rotenone/antimycin A (Rot/AA)-treated groups ( n = 6). (D) Correlation analysis of MFI between single-stain and multiplexed conditions across probes (Spearman’s r). (E) MFI of probes (mean ± SD) in control versus EZH2-knockdown (EZH2-sh) groups under single and multiplexed staining. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001.

    Journal: Cell Reports Methods

    Article Title: Application of spectral flow cytometry for comprehensive detection of immune metabolism in patient-derived microsamples

    doi: 10.1016/j.crmeth.2026.101330

    Figure Lengend Snippet: Validation of three metabolic probes for simultaneous assessment of mitochondrial activity and oxidative stress (A) Representative flow cytometry density plots demonstrating spectral resolution of co-stained probes. (B) Validation matrix: lower left quadrant, computational spectral similarity by FluoroFinder; upper right quadrant, empirical resolvability determination (red: resolvable pairs). (C) Mean fluorescence intensity (MFI; mean ± SD) of individual probes in control versus rotenone/antimycin A (Rot/AA)-treated groups ( n = 6). (D) Correlation analysis of MFI between single-stain and multiplexed conditions across probes (Spearman’s r). (E) MFI of probes (mean ± SD) in control versus EZH2-knockdown (EZH2-sh) groups under single and multiplexed staining. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001.

    Article Snippet: Cells were washed and then acquired by full spectrum flow cytometry (SONY ID7000).

    Techniques: Biomarker Discovery, Activity Assay, Flow Cytometry, Staining, Fluorescence, Control, Knockdown

    ( a ) UMAP plot shows individual clusters in CD45 hi leukocytes from brains of male E4 WT , E4 Δ+32 , TE4 WT , and TE4 Δ+32 mice. ( b ) Dot plot identifies 11 clusters of leukocytes. ( c ) Representative flow cytometry plot confirms the identity of different leukocyte populations. ( d ) UMAP (left) plot reveals the population shift comparing the four strains of mice. Bar graph (right) shows the frequency of cells populating individual clusters. ( e ) Representative flow cytometry analysis identifying lymphocytes including conventional T cells (CD4 T cells and CD8 T cells), NK cells, and NKT cells in hippocampus and cortex of brains from 9.5-month-old male E4 WT , E4 Δ+32 , TE4 WT , and TE4 Δ+32 mice. ( f-k ) Frequency of CD45 hi ( f ), αβ T cells ( g ), CD4 T cells ( h ), CD8 T cells ( i ), NK cells ( j ), and NKT cells ( k ) from hippocampus and cortex from 9.5-month-old male E4 WT (n=14), E4 Δ+32 (n=11), TE4 WT (n=17), and TE4 Δ+32 (n=15) mice. ( l ) Representative immunofluorescence images of T cell accumulation in hippocampal regions of brains from the four strains of male mice. The hippocampal sections were stained with CD3 (Green), CD4 (Red), CD8 (Magenta), and IBA1 (Blue). Scale bar: 40μm. ( m-p ) Data summarizes the number of the CD3+ total T cells ( m ), CD8+ T cells ( n ), CD4+ T cells ( o ), and CD3+CD4-CD8- T cells ( p ) within the hippocampus. Male E4 WT (n=7), male E4 Δ+32 (n=9), male TE4 WT (n=19), and male TE4 Δ+32 (n=21). Data are presented as mean values ± SEMs. Statistical significance was defined using two-way ANOVA with Šídák’s multiple comparisons test ( f-k ) and unpaired student t test, two tailed ( m-p ). P value (actual value) was indicated in the figure. ****P<0.0001; NS, no significance.

    Journal: bioRxiv

    Article Title: CD8 + T cells are primed by cDC1 and exacerbate tau-mediated neurodegeneration

    doi: 10.64898/2026.02.26.708260

    Figure Lengend Snippet: ( a ) UMAP plot shows individual clusters in CD45 hi leukocytes from brains of male E4 WT , E4 Δ+32 , TE4 WT , and TE4 Δ+32 mice. ( b ) Dot plot identifies 11 clusters of leukocytes. ( c ) Representative flow cytometry plot confirms the identity of different leukocyte populations. ( d ) UMAP (left) plot reveals the population shift comparing the four strains of mice. Bar graph (right) shows the frequency of cells populating individual clusters. ( e ) Representative flow cytometry analysis identifying lymphocytes including conventional T cells (CD4 T cells and CD8 T cells), NK cells, and NKT cells in hippocampus and cortex of brains from 9.5-month-old male E4 WT , E4 Δ+32 , TE4 WT , and TE4 Δ+32 mice. ( f-k ) Frequency of CD45 hi ( f ), αβ T cells ( g ), CD4 T cells ( h ), CD8 T cells ( i ), NK cells ( j ), and NKT cells ( k ) from hippocampus and cortex from 9.5-month-old male E4 WT (n=14), E4 Δ+32 (n=11), TE4 WT (n=17), and TE4 Δ+32 (n=15) mice. ( l ) Representative immunofluorescence images of T cell accumulation in hippocampal regions of brains from the four strains of male mice. The hippocampal sections were stained with CD3 (Green), CD4 (Red), CD8 (Magenta), and IBA1 (Blue). Scale bar: 40μm. ( m-p ) Data summarizes the number of the CD3+ total T cells ( m ), CD8+ T cells ( n ), CD4+ T cells ( o ), and CD3+CD4-CD8- T cells ( p ) within the hippocampus. Male E4 WT (n=7), male E4 Δ+32 (n=9), male TE4 WT (n=19), and male TE4 Δ+32 (n=21). Data are presented as mean values ± SEMs. Statistical significance was defined using two-way ANOVA with Šídák’s multiple comparisons test ( f-k ) and unpaired student t test, two tailed ( m-p ). P value (actual value) was indicated in the figure. ****P<0.0001; NS, no significance.

    Article Snippet: All conventional flow cytometry was done with BD FACSCanto II (BD Biosciences) or Cytek Aurora Spectrum Flow Cytometry (Cytek Biosciences, 5L UV-V-B-YG-R).

    Techniques: Flow Cytometry, Immunofluorescence, Staining, Two Tailed Test

    ( a ) UMAP plot shows individual clusters in enriched CD3 + T cells from brains of E4 WT , E4 Δ+32 , TE4 WT , and TE4 Δ+32 mice. ( b ) Feature plots show the expression of specific markers in clusters of cells. ( c ) Density plot (upper) shows the changes of the frequencies for each cluster and bar graph calculates the proportion of each cluster in CD4 + T cells (lower left) and CD8 + T cells (lower right). ( d ) Representative flow cytometry identifies naïve T cells (upper left) and Tregs (lower left) and frequencies of each population in CD4 + T cells among the four strains of male mice (right). ( e ) Representative flow cytometry identifies naïve T cells (upper left) and exhausted age associated T cells (lower left) and frequencies of each population in CD8 + T cells among the four strains of male mice (right). ( f ) UMAP plot shows the top T cell clonotypes in each strain of mice. Red dots represent top clones and size of the dots represented the proportion of the clonotypes among all T cells with paired TCR information (left). ( g ) Gini index bar plots of clonotypes in different cell types under different conditions. Higher Gini index indicates less even frequency of clonotypes and greater extent of clonal expansion. Data are presented as mean values ± SEMs. Statistical significance was defined using two-way ANOVA with Šídák’s multiple comparisons test ( d and e ). P value (actual value) was indicated in the figure. ****P<0.0001; NS, no significance.

    Journal: bioRxiv

    Article Title: CD8 + T cells are primed by cDC1 and exacerbate tau-mediated neurodegeneration

    doi: 10.64898/2026.02.26.708260

    Figure Lengend Snippet: ( a ) UMAP plot shows individual clusters in enriched CD3 + T cells from brains of E4 WT , E4 Δ+32 , TE4 WT , and TE4 Δ+32 mice. ( b ) Feature plots show the expression of specific markers in clusters of cells. ( c ) Density plot (upper) shows the changes of the frequencies for each cluster and bar graph calculates the proportion of each cluster in CD4 + T cells (lower left) and CD8 + T cells (lower right). ( d ) Representative flow cytometry identifies naïve T cells (upper left) and Tregs (lower left) and frequencies of each population in CD4 + T cells among the four strains of male mice (right). ( e ) Representative flow cytometry identifies naïve T cells (upper left) and exhausted age associated T cells (lower left) and frequencies of each population in CD8 + T cells among the four strains of male mice (right). ( f ) UMAP plot shows the top T cell clonotypes in each strain of mice. Red dots represent top clones and size of the dots represented the proportion of the clonotypes among all T cells with paired TCR information (left). ( g ) Gini index bar plots of clonotypes in different cell types under different conditions. Higher Gini index indicates less even frequency of clonotypes and greater extent of clonal expansion. Data are presented as mean values ± SEMs. Statistical significance was defined using two-way ANOVA with Šídák’s multiple comparisons test ( d and e ). P value (actual value) was indicated in the figure. ****P<0.0001; NS, no significance.

    Article Snippet: All conventional flow cytometry was done with BD FACSCanto II (BD Biosciences) or Cytek Aurora Spectrum Flow Cytometry (Cytek Biosciences, 5L UV-V-B-YG-R).

    Techniques: Expressing, Flow Cytometry, Clone Assay

    ( a ) Representative immunofluorescent images of neurons derived from MHC-I 3xKO mice infected with or without AAV8-syn-mOVA virus. The cells were stained with MAP2 (Green), Ova (Red) and DAPI. ( b ) Representative flow cytometry shows transferred OT-I cells are not present in meninges or brain parenchyma. ( c ) Representative flow cytometry shows transferred OT-1 cells are present in dCLN and spleen and their proliferation rate under each condition. ( d ) Percentages of proliferated OT-I transferred into WT or Δ+32 mice injected with either control neurons or mOva expressing neurons into the brains. Data are presented as mean values ± SEMs. Statistical significance was defined using Mann-Whitney test, two-tailed. P value (actual value) was indicated in the figure.

    Journal: bioRxiv

    Article Title: CD8 + T cells are primed by cDC1 and exacerbate tau-mediated neurodegeneration

    doi: 10.64898/2026.02.26.708260

    Figure Lengend Snippet: ( a ) Representative immunofluorescent images of neurons derived from MHC-I 3xKO mice infected with or without AAV8-syn-mOVA virus. The cells were stained with MAP2 (Green), Ova (Red) and DAPI. ( b ) Representative flow cytometry shows transferred OT-I cells are not present in meninges or brain parenchyma. ( c ) Representative flow cytometry shows transferred OT-1 cells are present in dCLN and spleen and their proliferation rate under each condition. ( d ) Percentages of proliferated OT-I transferred into WT or Δ+32 mice injected with either control neurons or mOva expressing neurons into the brains. Data are presented as mean values ± SEMs. Statistical significance was defined using Mann-Whitney test, two-tailed. P value (actual value) was indicated in the figure.

    Article Snippet: All conventional flow cytometry was done with BD FACSCanto II (BD Biosciences) or Cytek Aurora Spectrum Flow Cytometry (Cytek Biosciences, 5L UV-V-B-YG-R).

    Techniques: Derivative Assay, Infection, Virus, Staining, Flow Cytometry, Injection, Control, Expressing, MANN-WHITNEY, Two Tailed Test