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Time-lapse microscopy approaches to track cell cycle progression at the single-cell level. | LitMetric

AI Article Synopsis

  • Time-lapse microscopy involves collecting images from a microscope at set intervals to observe cellular events over time.
  • This technique helps assess how initial positions in the cell cycle affect the response of individual cells to anti-cancer treatments.
  • The methodology allows for testing various drugs and their effects on different cell types while providing a way to analyze the dynamics of cell division and death in tumors.

Article Abstract

Time-lapse microscopy can be described as the repeated collection of a field of view from a microscope at discrete time intervals. The duration of the time interval defines the temporal resolution, which in turn characterizes the type of event detected. This unit describes the implementation of time-lapse microscopy to link initial cell cycle position during acute exposures to anti-cancer agents with anti-proliferative consequences for individual cells. The approach incorporates fundamental concepts arising from the ability to capture simple video sequences of cells from which it is possible to extract kinetic descriptors that reflect the interplay of mitosis and cell death in the growth of an unsynchronized tumor population. Utilizing a multi-well format enables the user to test different drug derivatives, multiple dose ranges, or cell cultures with unique genetic backgrounds. The objective of this unit is to present a generic methodology for capturing time-lapse sequences and subsequently mining the data for comprehensive event analysis.

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Source
http://dx.doi.org/10.1002/0471142956.cy1204s31DOI Listing

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