عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TL56217
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Using Flow Cytometry and Multistage Machine Learning to Discover Label-Free Signatures of Algal Lipid Accumulation
General Material Designation
[Thesis]
First Statement of Responsibility
Tanhaemami, Mohammad
Subsequent Statement of Responsibility
Munsky, Brian E.
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Colorado State University
Date of Publication, Distribution, etc.
2020
GENERAL NOTES
Text of Note
66 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
M.S.
Body granting the degree
Colorado State University
Text preceding or following the note
2020
SUMMARY OR ABSTRACT
Text of Note
Most applications of flow cytometry or cell sorting rely on the conjugation of fluorescent dyes to specific biomarkers. However, labeled biomarkers are not always available, they can be costly, and they may disrupt natural cell behavior. Label-free quantification based upon machine-learning approaches could help correct these issues, but label replacement strategies can be very difficult to discover when applied labels or other modifications in measurements inadvertently modify intrinsic cell properties. Here we demonstrate a new, but simple approach based upon feature selection and linear regression analyses to integrate statistical information collected from both labeled and unlabeled cell populations and to identify models for accurate label-free single-cell quantification. We verify the method's accuracy to predict lipid content in algal cells Picochlorum soloecismus during a nitrogen starvation and lipid accumulation time course. Our general approach is expected to improve label-free single-cell analysis for other organisms or pathways, where biomarkers are inconvenient, expensive, or disruptive to downstream cellular processes.
UNCONTROLLED SUBJECT TERMS
Subject Term
Bioengineering
Subject Term
Biomedical engineering
Subject Term
Chemical engineering
PERSONAL NAME - PRIMARY RESPONSIBILITY
Tanhaemami, Mohammad
PERSONAL NAME - SECONDARY RESPONSIBILITY
Munsky, Brian E.
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
Colorado State University
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
