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Fisher Scientific tube rack 80 well
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Thermo Fisher thermo fisher scientifictm

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Amaxa amaxa 96 well shuttle

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96-well plate setup for K D probe determination

Journal: STAR Protocols

Article Title: Protocol for detecting in vitro riboswitch conformational switching using a fluorescence anisotropy single-stranded RNA-targeting approach

doi: 10.1016/j.xpro.2026.104439

Figure Lengend Snippet: 96-well plate setup for K D probe determination

Article Snippet: 96-well conical black plate , Thermo Fisher ScientificTM , #249945.

Techniques:

96-well plate setup for FASST assay

Journal: STAR Protocols

Article Title: Protocol for detecting in vitro riboswitch conformational switching using a fluorescence anisotropy single-stranded RNA-targeting approach

doi: 10.1016/j.xpro.2026.104439

Figure Lengend Snippet: 96-well plate setup for FASST assay

Article Snippet: 96-well conical black plate , Thermo Fisher ScientificTM , #249945.

Techniques:

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

Journal: STAR Protocols

Article Title: Protocol for detecting in vitro riboswitch conformational switching using a fluorescence anisotropy single-stranded RNA-targeting approach

doi: 10.1016/j.xpro.2026.104439

Figure Lengend Snippet:

Article Snippet: 96-well conical black plate , Thermo Fisher ScientificTM , #249945.

Techniques: Recombinant, Software, Spectrophotometry, Fluorescence, Membrane, Sterility