The dataset is utilized for the application of methods detailed in the paper titled "Segmenting Tubular Structures in Biological Images via Geometry-Aware Stretching Active Curves". Microtubule (MT) images were collected with a Zeiss Axio Observer microscope attached to a Yokogawa CSU-X1 spinning disk head with a 100X objective (1.4 NA, oil immersion). MTs were visualized by tagging TUA5, a component of MTs, with mCherry, a red fluorescent protein. A 561-nm excitation laser and a 593/40 nm emission filter was used. Z-stack images were collected with a step size of 0.2 $\mu{m}$ in Z. To enhance the signal-to-noise ratio, images were first background subtracted and contrast enhanced in ImageJ. The Sliding Paraboloid algorithm with a rolling ball radius of 30 pixels was used for background subtraction. Saturated pixels were set to 0.4 percent for contrast enhancement.