Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

3Scan Awarded a Prestigious NIH Grant to Advance Its Novel Automated Sectioning and Imaging Technology

3D Tissue Data Extraction to Unlock the Answers Needed to Cure Kidney Disease

3Scan, Inc. (3Scan), the world’s leading 3D tissue imaging company has been awarded a Phase I Small Business Innovation Research (SBIR) grant from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK).  This grant (R43DK120281) will fund detailed exploration of kidney anatomy in an effort to better understand renal function and disease.

3Scan aims to combine automation, workflow innovation, and microscopy to transform formerly laborious pathology processes into robust and reproducible data.  Leveraging a new and proprietary imaging platform, 3Scan will study renal glomeruli. These microscopic 3D structures are the critical components of normal functioning kidneys and are frequently implicated in chronic kidney disease. 3Scan’s technology produces 3D reconstructions of hundreds of serial sections at single-cell resolution while allowing on-demand access to each serial section.  This will provide researchers with unprecedented detail of how cells maintain the various complicated structures that are implicated in kidney disease. It will also equip 3Scan to further interrogate samples using molecular analysis such as genome and RNA transcript sequencing.

Read More: Interview with Jeffrey Kofman, CEO and Founder at Trint

“Kidney disease is an enormous problem in the United States.  It is notoriously difficult to study, and this slows down research that could improve detection and treatment.” said Christopher Rhodes, Principal Investigator.  “We’re excited for this chance to apply our expertise in automation engineering, histotechnology, and computer vision to such an important and immediate challenge.”

NIH Disclaimer
This research project, “Automated sectioning, imaging, and extraction of renal glomeruli for single-cell analysis”, will be supported by the National Institute Of Diabetes And Digestive And Kidney Diseases of the National Institutes of Health under Award Number R43DK120281.  The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes

Read More: The Top 5 “Recipes” That Give AI Projects a Higher Likelihood of Success

Leave A Reply

Your email address will not be published.