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.

Dataset · Mon Apr 05 00:00:00 EDT 2021

DOI:https://doi.org/10.7923/3d0d-yb04· OSTI ID:1773786

Vasdekis, Andreas ^[1]; Sheneman, Luke

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1. Regents of the University of idaho

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.

• Research Organization: Regents of the University of Idaho
• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER)
• DOE Contract Number: SC0019249
• OSTI ID: 1773786
• Report Number(s): d4cc1faf-3360-4084-a4d6-9ce7b5a6c450
• Availability: The datasets is publically available.
• Country of Publication: United States
• Language: English

Related Subjects

ANN
CNN
LDA
QPI
SVM
XGBoost
biofuels
classification
computer vision
convolutional neural networks
deep learning
gradient boosting
linear discriminant analysis
lipid
machine learning
microscopy
multilayer perceptron
neural network
quantitative phase images
random forest
segmentation
semantic segmentation
support vector machines