SRC Biosciences has recently shown that automatic stereology can be achieved through a combination of deep learning, or more broadly machine learning, and unbiased stereology methods1-4. Stereology users interested in participating should contact SRC Biosciences (email@example.com). Equipment requirements are microscope with XYZ motorized stage, digital camera and PC running Windows 10.
- Mouton P.R., Phoulady HA, Goldgof D, Hall LO, Gordon M, Morgan D. Unbiased estimation of cell number using the automatic optical fractionator. J Chem Neuroanat. 80:1-8, 2017.
- Phoulady, H.A., Goldgof, D., Lawrence O. Hall, L.O., Mouton, P.R. Automatic Ground Truth for Deep Learning Stereology of Immunostained Neurons and Microglia in Mouse Neocortex. J. Chemical Neuroanat, 96: 1-7, 2019.
- Alahmari, S., Goldgof, D., Hall, D. Phoulady, H.A. Patel, R., Mouton, P.R. Automated Counts of Stained Cells by Deep Learning and Unbiased Stereology. J Chem Neuroanat, 96:94-101, 2019.
- Phoulady, H.A., Goldgof, D., Hall, L.O., Nash, K.N., Mouton, P.R. Automatic Stereology of Mean Nuclear Size of Neurons using an Active Contour Framework. J Chem Neuroanat, 96:110-115, 2019.