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Caption: This cross-section of an organoid processed with SCOUT shows cells labeled with various antibodies to highlight different cell types: cell nuclei are in blue (DAPI dye), glia/neural progenitor nuclei are in red (anti-SOX2), glia/neural progenitor projections are in green (anti-vimentin), neuronal projections are in white (anti-B3-tubulin). Credits: Image courtesy of the Chung lab.
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The ability to culture cerebral organoids, or “minibrains,” using stem cells derived from people has given scientists experimentally manipulable models of human neurological development and disease, but not without confounding challenges. No two organoids are alike and none of them resemble actual brains. This “snowflake” problem has held back the science by making scientifically meaningful quantitative comparisons difficult to achieve. To help researchers overcome those limitations, MIT neur
Massachusetts Institute of Technology Unbiased, high-throughput analysis pipeline improves utility of “minibrains” for understanding development and diseases such as Zika infection. This cross-section of an organoid processed with SCOUT shows cells labeled with various antibodies to highlight different cell types: cell nuclei are in blue (DAPI dye), glia/neural progenitor nuclei are in red (anti-SOX2), glia/neural progenitor projections are in green (anti-vimentin), neuronal projections are in white (anti-B3-tubulin). Image courtesy of the Chung lab.
The ability to culture cerebral organoids, or “minibrains,” using stem cells derived from people has given scientists experimentally manipulable models of human neurological development and disease, but not without confounding challenges. No two organoids are alike and none of them resemble actual brains. This “snowflake” problem has held back the science by making scientifically me