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incucyte zoom hd 2clr time lapse microscopy system  (Sartorius AG)


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    Structured Review

    Sartorius AG incucyte zoom hd 2clr time lapse microscopy system
    Incucyte Zoom Hd 2clr Time Lapse Microscopy System, supplied by Sartorius AG, used in various techniques. Bioz Stars score: 99/100, based on 16037 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/time+lapse+microscopy/Live+Cell+Analysis+Instruments/pm40953556-84-11-17
    Average 99 stars, based on 16037 article reviews
    incucyte zoom hd 2clr time lapse microscopy system - by Bioz Stars, 2026-10
    99/100 stars

    Images

    Related Articles

    Cell Culture:

    Article Title: hiPSC-CM Monolayer Maturation State Determines Drug Responsiveness in High Throughput Pro-Arrhythmia Screen.
    Article Snippet: Confluent monolayer formation was monitored and confirmed using time-lapse microscopy (Incucyte Zoom, Essen Bioscience, Ann Arbor, MI).

    Article Title: STAG2 mutations alter CTCF-anchored loop extrusion, reduce cis-regulatory interactions and EWSR1-FLI1 activity in Ewing sarcoma.
    Article Snippet: At cell confluence, insert was carefully removed using tweezers and cell migration into the wound (cell-free 500 mmgap) wasmonitored using time-lapse microscopy (IncuCyte Live Cell Analysis Systems, 4x or 10x objective lens, Sartorius) with an interval of 2 hours during 48 hours.

    Article Title: Design and Synthesis of Poly(ADP-ribose) Polymerase Inhibitors: Impact of Adenosine Pocket-Binding Motif Appendage to the 3-Oxo-2,3-dihydrobenzofuran-7-carboxamide on Potency and Selectivity.
    Article Snippet: Cell growth was monitored for 6 days using time-lapse microscopy (IncuCyte, Essen Bioscience, Ann Arbor) and survival curves were calculated by normalizing cell counts to cell numbers in vehicle-treated wells and plotted using a four-parameter logistic regression curve fit (Prism, Graphpad).

    Article Title: Sequential JAK inhibition enhances antitumor immunity after combined anti–PD-1 and anti-CTLA4
    Article Snippet: Then, anti–Annexin V–CytoGreen was added to the wells, and target cell death was monitored every 4 hours by time-lapse microscopy (Incucyte, Sartorius).

    Article Title: Metabolic programs drive function of therapeutic NK cells in hypoxic tumor environments
    Article Snippet: Enriched NK cells were cultured in various oxygen conditions for 7 days (or 3 days where indicated) before challenging them with these fluorescent targets cells (K562 or Raji with rituximab at 10 μg/ml) in incubators capable of time-lapse microscopy (IncuCyte S3 and IncuCyte Zoom, Sartorius Inc.; humidified, 20% O 2 5% CO 2 , 37°C) for up to 48 hours.

    Article Title: Pre-Clinical Rationale for Amcenestrant Combinations in HER2+/ER+ Breast Cancer
    Article Snippet: Verification of resistance was established using time-lapse microscopy and analysis of cell confluence using Incucyte S3 Live Cell Analysis Instrument (Sartorius, Göttingen, Germany) (Supplementary Figure S2).

    Article Title: Metabolic programs drive function of therapeutic NK cells in hypoxic tumor environments.
    Article Snippet: Enriched NK cells were cultured in various oxygen conditions for 7 days (or 3 days where indicated) before challenging them with these fluorescent targets cells (K562 or Raji with rituximab at 10 μg/ml) in incubators capable of time- lapse microscopy (IncuCyte S3 and IncuCyte Zoom, Sartorius Inc.; humidified, 20% O2 5% CO2, 37°C) for up to 48 hours.

    Article Title: Sequential JAK inhibition enhances anti-tumor immunity after combined anti-PD-1 and anti-CTLA4.
    Article Snippet: Then, anti-Annexin VCytoGreen was added to the wells and target cell death was monitored every 4h by time-lapse microscopy (Incucyte, Sartorius).

    Time-lapse Microscopy:

    Article Title: hiPSC-CM Monolayer Maturation State Determines Drug Responsiveness in High Throughput Pro-Arrhythmia Screen.
    Article Snippet: Confluent monolayer formation was monitored and confirmed using time-lapse microscopy (Incucyte Zoom, Essen Bioscience, Ann Arbor, MI).

    Article Title: STAG2 mutations alter CTCF-anchored loop extrusion, reduce cis-regulatory interactions and EWSR1-FLI1 activity in Ewing sarcoma.
    Article Snippet: At cell confluence, insert was carefully removed using tweezers and cell migration into the wound (cell-free 500 mmgap) wasmonitored using time-lapse microscopy (IncuCyte Live Cell Analysis Systems, 4x or 10x objective lens, Sartorius) with an interval of 2 hours during 48 hours.

    Article Title: Design and Synthesis of Poly(ADP-ribose) Polymerase Inhibitors: Impact of Adenosine Pocket-Binding Motif Appendage to the 3-Oxo-2,3-dihydrobenzofuran-7-carboxamide on Potency and Selectivity.
    Article Snippet: Cell growth was monitored for 6 days using time-lapse microscopy (IncuCyte, Essen Bioscience, Ann Arbor) and survival curves were calculated by normalizing cell counts to cell numbers in vehicle-treated wells and plotted using a four-parameter logistic regression curve fit (Prism, Graphpad).

    Article Title: Sequential JAK inhibition enhances antitumor immunity after combined anti–PD-1 and anti-CTLA4
    Article Snippet: Then, anti–Annexin V–CytoGreen was added to the wells, and target cell death was monitored every 4 hours by time-lapse microscopy (Incucyte, Sartorius).

    Article Title: Metabolic programs drive function of therapeutic NK cells in hypoxic tumor environments
    Article Snippet: Enriched NK cells were cultured in various oxygen conditions for 7 days (or 3 days where indicated) before challenging them with these fluorescent targets cells (K562 or Raji with rituximab at 10 μg/ml) in incubators capable of time-lapse microscopy (IncuCyte S3 and IncuCyte Zoom, Sartorius Inc.; humidified, 20% O 2 5% CO 2 , 37°C) for up to 48 hours.

    Article Title: Pre-Clinical Rationale for Amcenestrant Combinations in HER2+/ER+ Breast Cancer
    Article Snippet: Verification of resistance was established using time-lapse microscopy and analysis of cell confluence using Incucyte S3 Live Cell Analysis Instrument (Sartorius, Göttingen, Germany) (Supplementary Figure S2).

    Article Title: Metabolic programs drive function of therapeutic NK cells in hypoxic tumor environments.
    Article Snippet: Enriched NK cells were cultured in various oxygen conditions for 7 days (or 3 days where indicated) before challenging them with these fluorescent targets cells (K562 or Raji with rituximab at 10 μg/ml) in incubators capable of time- lapse microscopy (IncuCyte S3 and IncuCyte Zoom, Sartorius Inc.; humidified, 20% O2 5% CO2, 37°C) for up to 48 hours.

    Article Title: Sequential JAK inhibition enhances anti-tumor immunity after combined anti-PD-1 and anti-CTLA4.
    Article Snippet: Then, anti-Annexin VCytoGreen was added to the wells and target cell death was monitored every 4h by time-lapse microscopy (Incucyte, Sartorius).

    Migration:

    Article Title: hiPSC-CM Monolayer Maturation State Determines Drug Responsiveness in High Throughput Pro-Arrhythmia Screen.
    Article Snippet: Confluent monolayer formation was monitored and confirmed using time-lapse microscopy (Incucyte Zoom, Essen Bioscience, Ann Arbor, MI).

    Article Title: STAG2 mutations alter CTCF-anchored loop extrusion, reduce cis-regulatory interactions and EWSR1-FLI1 activity in Ewing sarcoma.
    Article Snippet: At cell confluence, insert was carefully removed using tweezers and cell migration into the wound (cell-free 500 mmgap) wasmonitored using time-lapse microscopy (IncuCyte Live Cell Analysis Systems, 4x or 10x objective lens, Sartorius) with an interval of 2 hours during 48 hours.

    Article Title: Design and Synthesis of Poly(ADP-ribose) Polymerase Inhibitors: Impact of Adenosine Pocket-Binding Motif Appendage to the 3-Oxo-2,3-dihydrobenzofuran-7-carboxamide on Potency and Selectivity.
    Article Snippet: Cell growth was monitored for 6 days using time-lapse microscopy (IncuCyte, Essen Bioscience, Ann Arbor) and survival curves were calculated by normalizing cell counts to cell numbers in vehicle-treated wells and plotted using a four-parameter logistic regression curve fit (Prism, Graphpad).

    Article Title: Sequential JAK inhibition enhances antitumor immunity after combined anti–PD-1 and anti-CTLA4
    Article Snippet: Then, anti–Annexin V–CytoGreen was added to the wells, and target cell death was monitored every 4 hours by time-lapse microscopy (Incucyte, Sartorius).

    Article Title: Metabolic programs drive function of therapeutic NK cells in hypoxic tumor environments
    Article Snippet: Enriched NK cells were cultured in various oxygen conditions for 7 days (or 3 days where indicated) before challenging them with these fluorescent targets cells (K562 or Raji with rituximab at 10 μg/ml) in incubators capable of time-lapse microscopy (IncuCyte S3 and IncuCyte Zoom, Sartorius Inc.; humidified, 20% O 2 5% CO 2 , 37°C) for up to 48 hours.

    Article Title: Pre-Clinical Rationale for Amcenestrant Combinations in HER2+/ER+ Breast Cancer
    Article Snippet: Verification of resistance was established using time-lapse microscopy and analysis of cell confluence using Incucyte S3 Live Cell Analysis Instrument (Sartorius, Göttingen, Germany) (Supplementary Figure S2).

    Article Title: Metabolic programs drive function of therapeutic NK cells in hypoxic tumor environments.
    Article Snippet: Enriched NK cells were cultured in various oxygen conditions for 7 days (or 3 days where indicated) before challenging them with these fluorescent targets cells (K562 or Raji with rituximab at 10 μg/ml) in incubators capable of time- lapse microscopy (IncuCyte S3 and IncuCyte Zoom, Sartorius Inc.; humidified, 20% O2 5% CO2, 37°C) for up to 48 hours.

    Article Title: Sequential JAK inhibition enhances anti-tumor immunity after combined anti-PD-1 and anti-CTLA4.
    Article Snippet: Then, anti-Annexin VCytoGreen was added to the wells and target cell death was monitored every 4h by time-lapse microscopy (Incucyte, Sartorius).



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    From the <t>intravital</t> <t>microscopy</t> data, we segmented and tracked 3D trajectories for individual GCBs and Tfhs. Each trajectory comprised the (x,y,z) coordinates of a single cell in 20 consecutive frames acquired at 30-second intervals. For each experimental trajectory, we decomposed the trajectory into primary, secondary, and tertiary axes of movement. For the 3D trajectory, we quantified statistical features of the angular distribution. For the 3D trajectory and the trajectory decomposition, we quantified the following features: net distance and progressivity; statistical features of the displacement distribution; and the mean squared displacement at intervals of one, two, and three frames (30 seconds, 1-minute, and 1.5-minutes, respectively). After extracting these features, we projected the multi-dimensional feature space into a UMAP embedding and applied unsupervised clustering to identify motility behaviors. We then examined the behavior of each motility cluster. Finally, we eliminated possible outlier trajectories, and repeated step on the cleaned dataset.
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    Image Search Results


    (A) The platemap showing replicates of ten different doses of staurosporine, an apoptosis-inducing compound. We imaged each well at four fields of view (FOVs) at three z slices, each 3um apart. Images were acquired every 30 minutes for 360 minutes (six hours), capturing Hoechst, ChromaLIVE 488_yellow, ChromaLIVE 488_red, and ChromaLIVE 561. We fixed cells at six hours and stained for AnnexinV, an apoptotic marker, and Hoechst. (B) Our HCLTI pipeline for processing time-lapse microscopy images. (C) Representative images of tracked HeLa single cells across time for varying doses of staurosporine. Cyan represents nuclei, yellow represents ChromaLive 561, and Magenta represents ChromaLive 488 at both its emission channels for visualization purposes only. Scale bars = 10 um.

    Journal: bioRxiv

    Article Title: High-content live-cell time-lapse imaging predicts cells about to die via apoptosis

    doi: 10.1101/2025.10.23.684203

    Figure Lengend Snippet: (A) The platemap showing replicates of ten different doses of staurosporine, an apoptosis-inducing compound. We imaged each well at four fields of view (FOVs) at three z slices, each 3um apart. Images were acquired every 30 minutes for 360 minutes (six hours), capturing Hoechst, ChromaLIVE 488_yellow, ChromaLIVE 488_red, and ChromaLIVE 561. We fixed cells at six hours and stained for AnnexinV, an apoptotic marker, and Hoechst. (B) Our HCLTI pipeline for processing time-lapse microscopy images. (C) Representative images of tracked HeLa single cells across time for varying doses of staurosporine. Cyan represents nuclei, yellow represents ChromaLive 561, and Magenta represents ChromaLive 488 at both its emission channels for visualization purposes only. Scale bars = 10 um.

    Article Snippet: – We then applied the Live Cell Painting assay (ChromaLIVE TM ) , and performed live-cell time-lapse spinning disk confocal microscopy (Yokogawa CQ1), acquiring images per field of view (FOV) every 30 minutes in three z stacks for six hours.

    Techniques: Staining, Marker, Time-lapse Microscopy

    Journal: bioRxiv

    Article Title: High-content live-cell time-lapse imaging predicts cells about to die via apoptosis

    doi: 10.1101/2025.10.23.684203

    Figure Lengend Snippet:

    Article Snippet: – We then applied the Live Cell Painting assay (ChromaLIVE TM ) , and performed live-cell time-lapse spinning disk confocal microscopy (Yokogawa CQ1), acquiring images per field of view (FOV) every 30 minutes in three z stacks for six hours.

    Techniques: Imaging, Staining

    From the intravital microscopy data, we segmented and tracked 3D trajectories for individual GCBs and Tfhs. Each trajectory comprised the (x,y,z) coordinates of a single cell in 20 consecutive frames acquired at 30-second intervals. For each experimental trajectory, we decomposed the trajectory into primary, secondary, and tertiary axes of movement. For the 3D trajectory, we quantified statistical features of the angular distribution. For the 3D trajectory and the trajectory decomposition, we quantified the following features: net distance and progressivity; statistical features of the displacement distribution; and the mean squared displacement at intervals of one, two, and three frames (30 seconds, 1-minute, and 1.5-minutes, respectively). After extracting these features, we projected the multi-dimensional feature space into a UMAP embedding and applied unsupervised clustering to identify motility behaviors. We then examined the behavior of each motility cluster. Finally, we eliminated possible outlier trajectories, and repeated step on the cleaned dataset.

    Journal: bioRxiv

    Article Title: Data-driven simulations elucidate how lymphocyte motility behaviors drive cell-cell interactions within germinal centers

    doi: 10.1101/2025.08.05.668700

    Figure Lengend Snippet: From the intravital microscopy data, we segmented and tracked 3D trajectories for individual GCBs and Tfhs. Each trajectory comprised the (x,y,z) coordinates of a single cell in 20 consecutive frames acquired at 30-second intervals. For each experimental trajectory, we decomposed the trajectory into primary, secondary, and tertiary axes of movement. For the 3D trajectory, we quantified statistical features of the angular distribution. For the 3D trajectory and the trajectory decomposition, we quantified the following features: net distance and progressivity; statistical features of the displacement distribution; and the mean squared displacement at intervals of one, two, and three frames (30 seconds, 1-minute, and 1.5-minutes, respectively). After extracting these features, we projected the multi-dimensional feature space into a UMAP embedding and applied unsupervised clustering to identify motility behaviors. We then examined the behavior of each motility cluster. Finally, we eliminated possible outlier trajectories, and repeated step on the cleaned dataset.

    Article Snippet: To extract single-cell trajectories from each intravital time-lapse microscopy image set, IMARIS software was used to segment cells and track individual trajectories.

    Techniques: Intravital Microscopy

    A , Bar plot representing fractional volume of segmented and tracked cell types within each intravital microscopy experiment. Segmented cells refer to cells that were tracked for 5 continuous frames. Tracked cells refer to cells that were tracked for 20 continuous frames. B, Measured GCB-Tfh interactions in each intravital microscopy experiment. We measured interactions by processing the metric of volumetric overlap ratio between each tracked cell and any labelled cell type (which could have also been tracked for 20 frames or segmented for a minimum of 5 frames, see Methods ). C, Scatter plot of simulation predictions against experimental measurements for total Tfh interactions per GCB. Vertical errorbars represent the standard deviation from 100 simulation repetitions. Line indicates a linear regression with the intercept fixed at zero. D, Scatter plots of simulation predictions against experimental measurements for total GCB interactions per Tfh. Vertical errorbars represent the standard deviation from 100 simulation repetitions. Line indicates a linear regression with the intercept fixed at zero. E, Bar plot representing the log 2 fold change between simulation predictions and experimental measurements for total Tfh interactions per GCB (blue) or total Tfh interactions per GCB (red). ‘RMSE’: root mean squared error between average simulation predictions and experimental measurements, ‘r’: r-value for Spearman correlation, ‘p’: p -value for Spearman correlation.

    Journal: bioRxiv

    Article Title: Data-driven simulations elucidate how lymphocyte motility behaviors drive cell-cell interactions within germinal centers

    doi: 10.1101/2025.08.05.668700

    Figure Lengend Snippet: A , Bar plot representing fractional volume of segmented and tracked cell types within each intravital microscopy experiment. Segmented cells refer to cells that were tracked for 5 continuous frames. Tracked cells refer to cells that were tracked for 20 continuous frames. B, Measured GCB-Tfh interactions in each intravital microscopy experiment. We measured interactions by processing the metric of volumetric overlap ratio between each tracked cell and any labelled cell type (which could have also been tracked for 20 frames or segmented for a minimum of 5 frames, see Methods ). C, Scatter plot of simulation predictions against experimental measurements for total Tfh interactions per GCB. Vertical errorbars represent the standard deviation from 100 simulation repetitions. Line indicates a linear regression with the intercept fixed at zero. D, Scatter plots of simulation predictions against experimental measurements for total GCB interactions per Tfh. Vertical errorbars represent the standard deviation from 100 simulation repetitions. Line indicates a linear regression with the intercept fixed at zero. E, Bar plot representing the log 2 fold change between simulation predictions and experimental measurements for total Tfh interactions per GCB (blue) or total Tfh interactions per GCB (red). ‘RMSE’: root mean squared error between average simulation predictions and experimental measurements, ‘r’: r-value for Spearman correlation, ‘p’: p -value for Spearman correlation.

    Article Snippet: To extract single-cell trajectories from each intravital time-lapse microscopy image set, IMARIS software was used to segment cells and track individual trajectories.

    Techniques: Intravital Microscopy, Standard Deviation