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Title: Data supporting manuscript from L. Sheneman, G. Stephanopoulos, A.E. Vasdekis titled "Deep learning classification of lipid droplets in quantitative phase images" as currently under review at PLOS ONE. This includes: 1) raw and binary labeled Quantitative Phase Images (QPI) of Y. lipolytica cells used in the analyses described within the manuscript. 2) various derived data including classifier scores, etc.

Abstract

Data supporting manuscript from L. Sheneman, G. Stephanopoulos, A.E. Vasdekis titled "Deep learning classification of lipid droplets in quantitative phase images" as currently under review at PLOS ONE. This includes: 1) raw and binary labeled Quantitative Phase Images (QPI) of Y. lipolytica cells used in the analyses described within the manuscript. 2) various derived data including classifier scores, etc.

Authors:
;
Publication Date:
Other Number(s):
d4cc1faf-3360-4084-a4d6-9ce7b5a6c450
DOE Contract Number:  
SC0019249
Research Org.:
Univ. of Idaho, Moscow, ID (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Keywords:
deep learning; lipid; quantitative phase images; QPI; convolutional neural networks; machine learning; random forest; neural network; microscopy; biofuels; segmentation; computer vision; semantic segmentation; classification; gradient boosting; linear discriminant analysis; support vector machines; multilayer perceptron; CNN; XGBoost; SVM; LDA; ANN
OSTI Identifier:
1773786
DOI:
https://doi.org/10.7923/3d0d-yb04

Citation Formats

Vasdekis, Andreas, and Sheneman, Luke. Data supporting manuscript from L. Sheneman, G. Stephanopoulos, A.E. Vasdekis titled "Deep learning classification of lipid droplets in quantitative phase images" as currently under review at PLOS ONE. This includes: 1) raw and binary labeled Quantitative Phase Images (QPI) of Y. lipolytica cells used in the analyses described within the manuscript. 2) various derived data including classifier scores, etc.. United States: N. p., 2021. Web. doi:10.7923/3d0d-yb04.
Vasdekis, Andreas, & Sheneman, Luke. Data supporting manuscript from L. Sheneman, G. Stephanopoulos, A.E. Vasdekis titled "Deep learning classification of lipid droplets in quantitative phase images" as currently under review at PLOS ONE. This includes: 1) raw and binary labeled Quantitative Phase Images (QPI) of Y. lipolytica cells used in the analyses described within the manuscript. 2) various derived data including classifier scores, etc.. United States. doi:https://doi.org/10.7923/3d0d-yb04
Vasdekis, Andreas, and Sheneman, Luke. 2021. "Data supporting manuscript from L. Sheneman, G. Stephanopoulos, A.E. Vasdekis titled "Deep learning classification of lipid droplets in quantitative phase images" as currently under review at PLOS ONE. This includes: 1) raw and binary labeled Quantitative Phase Images (QPI) of Y. lipolytica cells used in the analyses described within the manuscript. 2) various derived data including classifier scores, etc.". United States. doi:https://doi.org/10.7923/3d0d-yb04. https://www.osti.gov/servlets/purl/1773786. Pub date:Mon Apr 05 00:00:00 EDT 2021
@article{osti_1773786,
title = {Data supporting manuscript from L. Sheneman, G. Stephanopoulos, A.E. Vasdekis titled "Deep learning classification of lipid droplets in quantitative phase images" as currently under review at PLOS ONE. This includes: 1) raw and binary labeled Quantitative Phase Images (QPI) of Y. lipolytica cells used in the analyses described within the manuscript. 2) various derived data including classifier scores, etc.},
author = {Vasdekis, Andreas and Sheneman, Luke},
abstractNote = {Data supporting manuscript from L. Sheneman, G. Stephanopoulos, A.E. Vasdekis titled "Deep learning classification of lipid droplets in quantitative phase images" as currently under review at PLOS ONE. This includes: 1) raw and binary labeled Quantitative Phase Images (QPI) of Y. lipolytica cells used in the analyses described within the manuscript. 2) various derived data including classifier scores, etc.},
doi = {10.7923/3d0d-yb04},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Apr 05 00:00:00 EDT 2021},
month = {Mon Apr 05 00:00:00 EDT 2021}
}