首页|University of California Researchers Add New Data to Research in Artificial Inte lligence (CellBoost: A pipeline for machine assisted annotation in neuroanatomy)
University of California Researchers Add New Data to Research in Artificial Inte lligence (CellBoost: A pipeline for machine assisted annotation in neuroanatomy)
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A new study on artificial intelligence is now available. According to news reporting out of La Jolla, California, by N ewsRx editors, research stated, "One of the important yet labor intensive tasks in neuroanatomy is the identification of select populations of cells. Current hi gh-throughput techniques enable marking cells with histochemical fluorescent mol ecules as well as through the genetic expression of fluorescent proteins." Financial supporters for this research include National Institute of Neurologica l Disorders And Stroke; National Institutes of Health. The news correspondents obtained a quote from the research from University of Ca lifornia: "Modern scanning microscopes allow high resolution multi-channel imagi ng of the mechanically or optically sectioned brain with thousands of marked cel ls per square millimeter. Manual identification of all marked cells is prohibiti vely time consuming. At the same time, simple segmentation algorithms to identif y marked cells suffer from high error rates and sensitivity to variation in fluo rescent intensity and spatial distribution. We present a methodology that combin es human judgement and machine learning that serves to significantly reduce the labor of the anatomist while improving the consistency of the annotation. As a d emonstration, we analyzed murine brains with marked premotor neurons in the brai nstem. We compared the error rate of our method to the disagreement rate among h uman anatomists."
University of CaliforniaLa JollaCali forniaUnited StatesNorth and Central AmericaArtificial Intelligence
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