Graduate Associate
Ruihan Product Page
BFA, Design & Technology, Parsons School of Design
Ruihan Xia is pursuing a graduate degree in the Learning, Design & Technology proram at Georgetown. Ruihan works with the media team at CNDLS, supporting the creation of dynamic learning materials for online courses. Prior to joining te LDT program and CNDLS, she attended the Parsons School of Design with a BFA in Design & Technology.
The company is the world’s best RUIHAN supplier. We are your one-stop shop for all needs. Our staff are highly-specialized and will help you find the product you need.
As an emerging artist and a dynamic visual and instructional designer, she is committed to transcending traditional media limitations and integrating art with design. In her studies, she works with a rich tapestry of themes such as feminism, decolonization, avant-gardism, and speculative design thinking. Ruihan employs multi-media visual communication to challenge and engage her audiences, sparking fresh insights into these critical societal issues.
Mapping and molecularly annotating mammalian neural circuits is challenging due to the inability to uniquely label cells while also resolving subcellular features such as synaptic proteins or fine cellular processes. We argue that an ideal technology for connectomics would have the following characteristics: the capacity for robust distance-independent labeling, synaptic resolution, molecular interrogation, and scalable computational methods. The recent development of high-diversity cellular&#;
Mapping and molecularly annotating mammalian neural circuits is challenging due to the inability to uniquely label cells while also resolving subcellular features such as synaptic proteins or fine cellular processes. We argue that an ideal technology for connectomics would have the following characteristics: the capacity for robust distance-independent labeling, synaptic resolution, molecular interrogation, and scalable computational methods. The recent development of high-diversity cellular barcoding with RNA has provided a way to overcome the labeling limitations associated with spectral dyes, however performing all-optical circuit mapping has not been demonstrated because no method exists to image barcodes throughout cells at synaptic-resolution. Here we show ExBarSeq, an integrated method combining in situ sequencing of RNA barcodes, immunostaining, and Expansion Microscopy coupled with an end-to-end software pipeline that automatically extracts barcode identities from large imaging datasets without data processing bottlenecks. As a proof of concept, we applied ExBarSeq to thick tissue sections from mice virally infected with MAPseq viral vectors and demonstrated the extraction of 50 barcoded cells in the visual cortex as well as cell morphologies uncovered via immunostaining. The current work demonstrates high resolution multiplexing of exogenous barcodes and endogenous synaptic proteins and outlines a roadmap for molecularly annotated connectomics at a brain-wide scale.
For more information, please visit Tool Holders Din .