logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Scalable Spatial Transcriptomics Through Computational Array Reconstruction Chenlei Hu Mehdi Borji Giovanni J Marrero Vipin Kumar Jackson A Weir Sachin V Kammula Evan Z Macosko Fei Chen

  • SKU: BELL-233595796
Scalable Spatial Transcriptomics Through Computational Array Reconstruction Chenlei Hu Mehdi Borji Giovanni J Marrero Vipin Kumar Jackson A Weir Sachin V Kammula Evan Z Macosko Fei Chen
$ 35.00 $ 45.00 (-22%)

5.0

108 reviews

Scalable Spatial Transcriptomics Through Computational Array Reconstruction Chenlei Hu Mehdi Borji Giovanni J Marrero Vipin Kumar Jackson A Weir Sachin V Kammula Evan Z Macosko Fei Chen instant download after payment.

Publisher: x
File Extension: PDF
File size: 8.49 MB
Author: Chenlei Hu & Mehdi Borji & Giovanni J. Marrero & Vipin Kumar & Jackson A. Weir & Sachin V. Kammula & Evan Z. Macosko & Fei Chen
ISBN: 101038/S41587025026120
Language: English
Year: 2025

Product desciption

Scalable Spatial Transcriptomics Through Computational Array Reconstruction Chenlei Hu Mehdi Borji Giovanni J Marrero Vipin Kumar Jackson A Weir Sachin V Kammula Evan Z Macosko Fei Chen by Chenlei Hu & Mehdi Borji & Giovanni J. Marrero & Vipin Kumar & Jackson A. Weir & Sachin V. Kammula & Evan Z. Macosko & Fei Chen 101038/S41587025026120 instant download after payment.

Nature Biotechnology, doi:10.1038/s41587-025-02612-0

Spatial transcriptomics enables gene expression mapping within tissues but is often limited by imaging constraints. We present an imaging-free approach that reconstructs spatial barcode locations using molecular difusion and dimensionality reduction. Validated against ground truth imaging, our method achieves high fdelity and scales to centimeter-sized tissues. This approach enhances spatial transcriptomics’ accessibility and throughput, enabling large-scale studies without specialized imaging equipment.

Related Products