Python
MATLAB
RStudio
Machine Learning (scikit-learn, R)
Data analysis (Numpy)
Convolutional neural network (TensorFlow), Data Visualization (ImageJ, napari)
Image processing (OpenCV, scikit-image, scipy)
Cell Segmentation (CellProfiler, CellPose)
GUI development
Microscopy (Optical Microscopy, Fluorescence Lifetime imaging)
Biotechniques (Cell Culture, Western Blot, ELISA)
Microfluidics
Teaching Assistant, Texas A&M University:
BMEN 305: Bioinstrumentation Fall 2021
BMEN 305: Bioinstrumentation Fall 2020
1. Wang, Nianchao, Linghao Hu, Subha Holla, Amanda Galloway, and Alex J. Walsh. "Integration of modified U-Net model and watershed algorithm for enhanced instance segmentation of cells in autofluorescence imaging." (In Preparation)
2. Wang, Nianchao, Linghao Hu, and Alex J. Walsh. "Evaluation of CellPose segmentation with sequential thresholding for instance segmentation of cytoplasms within autofluorescence images." Submitted to Computers in Biology and Medicine. (Under Review)
3. Wang, Nianchao, Linghao Hu, and Alex J. Walsh. "POSEA: A novel algorithm to evaluate the performance of multi-object instance image segmentation." PloS one 18.3 (2023): e0283692.
4. Wang, Nianchao, et al. "A Modified Watershed Algorithm for Automated Segmentation of Autofluorescence Microscopy Images." Bio-Optics: Design and Application. Optica Publishing Group, 2021.
5. Hu, Linghao, Wang, Nianchao, et al. "Label-free spatially maintained measurements of metabolic phenotypes in cells." Frontiers in Bioengineering and Biotechnology 11 (2023).
6. Hu, Linghao, Wang, Nianchao, et al. "Machine learning prediction of cancer cell metabolism from autofluorescence lifetime images." bioRxiv (2022): 2022-12.
7. Martinez, Jocelyn, Wang, Nianchao, et al. "Imaging in Scaffolds." Biomaterial Based Approaches to Study the Tumour Microenvironment. The Royal Society of Chemistry, 2022. 304-341.
8. Hu, Linghao, Wang, Nianchao, and Alex J. Walsh. "Classification of T cell metabolism from autofluorescence imaging features." Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XIX. Vol. 11647. SPIE, 2021.
9. Hu, Linghao, Wang, Nianchao, et al. "Fluorescence intensity and lifetime redox ratios detect metabolic perturbations in T cells." Biomedical Optics Express 11.10 (2020): 5674-5688.
10. Law, Robert, Wang, Nianchao, et al. "Paving the Way: Migrating Leader Cells Dissociate from Collectively Migrating Sheets Under Geometric Confinement." 2019 AIChE Annual Meeting. AIChE, 2019.