The field of layer-dependent fMRI is challenged by draining veins hampering the spatial specificity, and low SNR due to small voxel sizes. Here we present a setup for layer-dependent fMRI that aims to tackle these problems, while being feasible at highly available and clinically approved 3T systems. It relies on recently published post-processing techniques for thermal noise reduction and removal of response components weighted toward macrovasculature. Our initial results suggest sufficient sensitivity for detection of robust layer specific signals. Furthermore, statistical maps are largely free from superficial bias and previously reported double stripe features emerge, indicating strong weighting toward microvasculature.