Dynamic Contrast Optical Coherence Tomography (DyC-OCT) is an emerging imaging technique that enhances contrast in optical coherence tomography (OCT) signals, enabling non-invasive, label-free volumetric live cell imaging. This mini-review covers the core concepts, system configurations, and applications of DyC-OCT. DyC-OCT leverages temporal signal fluctuations to highlight cellular and subcellular structures, enhancing contrast and revealing dynamic information. Various algorithms, such as logarithmic intensity variation (LIV), standard deviation (STD), and OCT correlation decay speed (OCDS), are used to analyze these fluctuations. Different OCT modalities, including full-field OCT (FF-OCT), swept-source OCT (SS-OCT), and spectral-domain OCT (SD-OCT), are employed based on their imaging speed, resolution, and depth of penetration. DyC-OCT has been applied to visualize cell and tissue morphology, monitor morphological changes over time, and assess cell activity and viability. Challenges include validating DyC-OCT signals without co-registered images and reducing acquisition times for in vivo applications. Future advancements in multi-modal imaging systems, high-speed and parallel OCT imaging, and advanced image processing algorithms are expected to further enhance the capabilities of DyC-OCT.Dynamic Contrast Optical Coherence Tomography (DyC-OCT) is an emerging imaging technique that enhances contrast in optical coherence tomography (OCT) signals, enabling non-invasive, label-free volumetric live cell imaging. This mini-review covers the core concepts, system configurations, and applications of DyC-OCT. DyC-OCT leverages temporal signal fluctuations to highlight cellular and subcellular structures, enhancing contrast and revealing dynamic information. Various algorithms, such as logarithmic intensity variation (LIV), standard deviation (STD), and OCT correlation decay speed (OCDS), are used to analyze these fluctuations. Different OCT modalities, including full-field OCT (FF-OCT), swept-source OCT (SS-OCT), and spectral-domain OCT (SD-OCT), are employed based on their imaging speed, resolution, and depth of penetration. DyC-OCT has been applied to visualize cell and tissue morphology, monitor morphological changes over time, and assess cell activity and viability. Challenges include validating DyC-OCT signals without co-registered images and reducing acquisition times for in vivo applications. Future advancements in multi-modal imaging systems, high-speed and parallel OCT imaging, and advanced image processing algorithms are expected to further enhance the capabilities of DyC-OCT.