Detection and Counting of Lipid Droplets in Adipocyte Differentiation of Bone Marrow-Derived Mesenchymal Stem Cells Using a Tiny Convolutional Network and Image Processing

Leila Hassanlou, Saeed Meshgini, Effat Alizadeh, Ali Farzamnia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Stem cells are a bunch of cells that are considered as encouraging cells for treating patients because of their ability to regenerate themselves and also their potential for differentiation into several lineages. When stem cells are differentiated into adipose tissues, a great variety of lipid droplets usually grow in these cells and can be observed by oil red O staining, which is typically used for evaluating adipocyte differentiation status. For numerous differentiation experiments, counting and calculation of the population of lipid droplets are necessary. The disadvantages of conducting experiments for identification and investigation of lipid droplets include being expensive, time-consuming and subjective. There are few studies carried out in the field of machine learning and image processing for the automatic detection and counting of lipid droplets in intracellular images. In this study, to demonstrate the adipocyte differentiation of mesenchymal stem cells, their microscopic images were prepared. After the preprocessing operation, the images were fed to a tiny convolutional neural network. Images created within the network output were examined using two image processing methods. Finally, the number of lipid droplets was obtained with acceptable accuracy, and their exact location was displayed.

Original languageEnglish
Title of host publication2019 9th International Conference on Computer and Knowledge Engineering, ICCKE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728150758
ISBN (Print)9781728150765
Publication statusPublished - 23 Jan 2020
Externally publishedYes
Event9th International Conference on Computer and Knowledge Engineering - Mashhad, Iran, Islamic Republic of
Duration: 24 Oct 201925 Oct 2019
Conference number: 9

Publication series

NameInternational Conference on Computer and Knowledge Engineering, ICCKE
ISSN (Print)2375-1304
ISSN (Electronic)2643-279X


Conference9th International Conference on Computer and Knowledge Engineering
Abbreviated titleICCKE 2019
Country/TerritoryIran, Islamic Republic of

Cite this