Review



one well chamber slide for photolabeling  (Cellvis Inc)

 
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 86
      Buy from Supplier

    Structured Review

    Cellvis Inc one well chamber slide for photolabeling
    Core Workflow Modules of the Microscoop® System The figure displays the three primary user interfaces (UIs) used for experimental execution. Imaging : Provides real-time images from the microscope camera. Imaging parameters, including channel selection, lamp intensity, and exposure time, can be adjusted in the left panel. Pattern Generation : The upper toolbar contains image-processing functions used to define targets for labeling, while the left panel displays the masking procedures. The central workspace displays the acquired images together with their corresponding masks and calculates the pixel count for each image. <t>Photolabeling</t> : Serves as the central control panel for managing laser parameters (power and labeling time) and automating the labeling sequence. During photolabeling, the pixel count and labeling duration are recorded in the bottom-right panel.
    One Well Chamber Slide For Photolabeling, supplied by Cellvis Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/one well chamber slide for photolabeling/product/Cellvis Inc
    Average 86 stars, based on 1 article reviews
    one well chamber slide for photolabeling - by Bioz Stars, 2026-06
    86/100 stars

    Images

    1) Product Images from "Protocol to define the in situ proteome of endogenous PRC2 bodies in the triple-negative breast cancer cell line BoM-1833 using optoproteomics"

    Article Title: Protocol to define the in situ proteome of endogenous PRC2 bodies in the triple-negative breast cancer cell line BoM-1833 using optoproteomics

    Journal: STAR Protocols

    doi: 10.1016/j.xpro.2026.104578

    Core Workflow Modules of the Microscoop® System The figure displays the three primary user interfaces (UIs) used for experimental execution. Imaging : Provides real-time images from the microscope camera. Imaging parameters, including channel selection, lamp intensity, and exposure time, can be adjusted in the left panel. Pattern Generation : The upper toolbar contains image-processing functions used to define targets for labeling, while the left panel displays the masking procedures. The central workspace displays the acquired images together with their corresponding masks and calculates the pixel count for each image. Photolabeling : Serves as the central control panel for managing laser parameters (power and labeling time) and automating the labeling sequence. During photolabeling, the pixel count and labeling duration are recorded in the bottom-right panel.
    Figure Legend Snippet: Core Workflow Modules of the Microscoop® System The figure displays the three primary user interfaces (UIs) used for experimental execution. Imaging : Provides real-time images from the microscope camera. Imaging parameters, including channel selection, lamp intensity, and exposure time, can be adjusted in the left panel. Pattern Generation : The upper toolbar contains image-processing functions used to define targets for labeling, while the left panel displays the masking procedures. The central workspace displays the acquired images together with their corresponding masks and calculates the pixel count for each image. Photolabeling : Serves as the central control panel for managing laser parameters (power and labeling time) and automating the labeling sequence. During photolabeling, the pixel count and labeling duration are recorded in the bottom-right panel.

    Techniques Used: Imaging, Microscopy, Selection, Labeling, Control, Sequencing

    Microscoop® Mint–based ROI recognition and photolabeling of EZH2 clusters A photolabeling mask was generated from the immunostaining signal of EZH2 clusters (magenta) in BoM-1833 cells using image-processing functions. The images shown were acquired on the Microscoop® system during mask preparation. Scale bar: 10 μm.
    Figure Legend Snippet: Microscoop® Mint–based ROI recognition and photolabeling of EZH2 clusters A photolabeling mask was generated from the immunostaining signal of EZH2 clusters (magenta) in BoM-1833 cells using image-processing functions. The images shown were acquired on the Microscoop® system during mask preparation. Scale bar: 10 μm.

    Techniques Used: Generated, Immunostaining

    An example of volcano plot summarizing MS data generated from optoproteomics workflow After LC–MS/MS analysis, photolabeled samples (PL) were compared with corresponding non-illuminated/unlabeled controls (UL) to generate a volcano plot, with x axis being fold change difference between PL and UL, and y-axis being p-value. A right-skewed volcano plot and an identification of the photolabeling target is expected. The dataset used for preparing this figure has been previously published.
    Figure Legend Snippet: An example of volcano plot summarizing MS data generated from optoproteomics workflow After LC–MS/MS analysis, photolabeled samples (PL) were compared with corresponding non-illuminated/unlabeled controls (UL) to generate a volcano plot, with x axis being fold change difference between PL and UL, and y-axis being p-value. A right-skewed volcano plot and an identification of the photolabeling target is expected. The dataset used for preparing this figure has been previously published.

    Techniques Used: Generated, Liquid Chromatography with Mass Spectroscopy



    Similar Products

    one well chamber slide for photolabeling  (Cellvis Inc)
    86
    Cellvis Inc one well chamber slide for photolabeling
    Core Workflow Modules of the Microscoop® System The figure displays the three primary user interfaces (UIs) used for experimental execution. Imaging : Provides real-time images from the microscope camera. Imaging parameters, including channel selection, lamp intensity, and exposure time, can be adjusted in the left panel. Pattern Generation : The upper toolbar contains image-processing functions used to define targets for labeling, while the left panel displays the masking procedures. The central workspace displays the acquired images together with their corresponding masks and calculates the pixel count for each image. <t>Photolabeling</t> : Serves as the central control panel for managing laser parameters (power and labeling time) and automating the labeling sequence. During photolabeling, the pixel count and labeling duration are recorded in the bottom-right panel.
    One Well Chamber Slide For Photolabeling, supplied by Cellvis Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/one well chamber slide for photolabeling/product/Cellvis Inc
    Average 86 stars, based on 1 article reviews
    one well chamber slide for photolabeling - by Bioz Stars, 2026-06
    86/100 stars
    		  Buy from Supplier

    Image Search Results


    Core Workflow Modules of the Microscoop® System The figure displays the three primary user interfaces (UIs) used for experimental execution. Imaging : Provides real-time images from the microscope camera. Imaging parameters, including channel selection, lamp intensity, and exposure time, can be adjusted in the left panel. Pattern Generation : The upper toolbar contains image-processing functions used to define targets for labeling, while the left panel displays the masking procedures. The central workspace displays the acquired images together with their corresponding masks and calculates the pixel count for each image. Photolabeling : Serves as the central control panel for managing laser parameters (power and labeling time) and automating the labeling sequence. During photolabeling, the pixel count and labeling duration are recorded in the bottom-right panel.

    Journal: STAR Protocols

    Article Title: Protocol to define the in situ proteome of endogenous PRC2 bodies in the triple-negative breast cancer cell line BoM-1833 using optoproteomics

    doi: 10.1016/j.xpro.2026.104578

    Figure Lengend Snippet: Core Workflow Modules of the Microscoop® System The figure displays the three primary user interfaces (UIs) used for experimental execution. Imaging : Provides real-time images from the microscope camera. Imaging parameters, including channel selection, lamp intensity, and exposure time, can be adjusted in the left panel. Pattern Generation : The upper toolbar contains image-processing functions used to define targets for labeling, while the left panel displays the masking procedures. The central workspace displays the acquired images together with their corresponding masks and calculates the pixel count for each image. Photolabeling : Serves as the central control panel for managing laser parameters (power and labeling time) and automating the labeling sequence. During photolabeling, the pixel count and labeling duration are recorded in the bottom-right panel.

    Article Snippet: One-well chamber slide for photolabeling , Cellvis, USA , Cat# C1-1.5H-N.

    Techniques: Imaging, Microscopy, Selection, Labeling, Control, Sequencing

    Microscoop® Mint–based ROI recognition and photolabeling of EZH2 clusters A photolabeling mask was generated from the immunostaining signal of EZH2 clusters (magenta) in BoM-1833 cells using image-processing functions. The images shown were acquired on the Microscoop® system during mask preparation. Scale bar: 10 μm.

    Journal: STAR Protocols

    Article Title: Protocol to define the in situ proteome of endogenous PRC2 bodies in the triple-negative breast cancer cell line BoM-1833 using optoproteomics

    doi: 10.1016/j.xpro.2026.104578

    Figure Lengend Snippet: Microscoop® Mint–based ROI recognition and photolabeling of EZH2 clusters A photolabeling mask was generated from the immunostaining signal of EZH2 clusters (magenta) in BoM-1833 cells using image-processing functions. The images shown were acquired on the Microscoop® system during mask preparation. Scale bar: 10 μm.

    Article Snippet: One-well chamber slide for photolabeling , Cellvis, USA , Cat# C1-1.5H-N.

    Techniques: Generated, Immunostaining

    An example of volcano plot summarizing MS data generated from optoproteomics workflow After LC–MS/MS analysis, photolabeled samples (PL) were compared with corresponding non-illuminated/unlabeled controls (UL) to generate a volcano plot, with x axis being fold change difference between PL and UL, and y-axis being p-value. A right-skewed volcano plot and an identification of the photolabeling target is expected. The dataset used for preparing this figure has been previously published.

    Journal: STAR Protocols

    Article Title: Protocol to define the in situ proteome of endogenous PRC2 bodies in the triple-negative breast cancer cell line BoM-1833 using optoproteomics

    doi: 10.1016/j.xpro.2026.104578

    Figure Lengend Snippet: An example of volcano plot summarizing MS data generated from optoproteomics workflow After LC–MS/MS analysis, photolabeled samples (PL) were compared with corresponding non-illuminated/unlabeled controls (UL) to generate a volcano plot, with x axis being fold change difference between PL and UL, and y-axis being p-value. A right-skewed volcano plot and an identification of the photolabeling target is expected. The dataset used for preparing this figure has been previously published.

    Article Snippet: One-well chamber slide for photolabeling , Cellvis, USA , Cat# C1-1.5H-N.

    Techniques: Generated, Liquid Chromatography with Mass Spectroscopy