In Vivo Labeling and Detection of Circulating Tumor Cells in Mice Using OTL38

Josh Pace, B.S.

Processed Diffuse in vivo flow Cytometry and bench top Flow Cytometry data collected during the study of labeling L1210A leukemia cells in vivo with OTL38 and detecting them with NIR-DiFC

Updated on October 9, 2023 (Version 3)

Corresponding Contributor:

Josh Pace
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Dataset Overview

Processed Diffuse in vivo flow Cytometry and bench top Flow Cytometry data collected during the study of labeling L1210A leukemia cells in vivo with OTL38 and detecting them with NIR-DiFC

Authors: Joshua Pace (1), Jane Lee (1), Madduri Srinivasarao (2), Shivakrishna Kallepu (2), Philip Low (2), Mark Niedre (1)

(1) Northeastern University, Department of Bioengineering, Boston, MA, 02115, USA

(2) Purdue University, Department of Chemistry, West Lafayette, IN, 047906, USA

Contact Mark Niedre with any questions:

m dot niedre at northeastern dot edu

Associated processing MATLAB code and figure making can be found on Github

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About this dataset

Publishing history

October 4, 2023
Originally Published
October 9, 2023 (Version 3)
Last Updated

Cite this dataset

Pace, J. (2023). In Vivo Labeling and Detection of Circulating Tumor Cells in Mice Using OTL38 (Version 3) [Dataset]. Pennsieve Discover. https://doi.org/10.26275/BTT6-PUQW