Publications

Journal Articles

Onasanya, A., Bengtson, M., Oladepo, O., Van Engelen, J., & Diehl, J. C. (2021). Rethinking the Top-Down Approach to Schistosomiasis Control and Elimination in Sub-Saharan Africa. Frontiers in Public Health, 9(99).

van Grootheest, D., Agbana, T., Diehl, J.-C., van Diepen, A., Bezzubik, V., & Vdovin, G. (2021). Large volume holographic imaging for biological sample analysis. Journal of Biomedical Optics, 26(1) 

Onasanya, A., Keshinro, M., Oladepo, O., Van Engelen, J., & Diehl, J. C. (2020). A Stakeholder Analysis of Schistosomiasis Diagnostic Landscape in South-West Nigeria: Insights for Diagnostics Co-creation. Frontiers in Public Health, 8(697).

Van, G.-Y., Onasanya, A., van Engelen, J., Oladepo, O., & Diehl, J. C. (2020). Improving Access to Diagnostics for Schistosomiasis Case Management in Oyo State, Nigeria: Barriers and Opportunities. Diagnostics, 10(5), 328.

Agbana, T. E., Diehl, J.-C., van Pul, F., Khan, S. M., Patlan, V., Verhaegen, M., & Vdovin, G. (2018). Imaging & identification of malaria parasites using cellphone microscope with a ball lens. PLOS ONE, 13(10), e0205020.

Conference Papers

Agbana, T., Nijman, P., Hoeber, M., van Grootheest, D., van Diepen, A., van Lieshout, L., . . . Vdovine, G. (2020). Detection of Schistosoma haematobium using lensless imaging and flow cytometry, a proof of principle study. Paper presented at the SPIE BiOS, San Francisco. https://doi.org/10.1117/12.2545220

Heemels, A., Agbana, T., Pereira, S., Diehl, J. C., Verhaegen, M., & Vdovin, G. (2020). Effect of partial coherent illumination on Fourier ptychography. Paper presented at the SPIE BiOS, San Francisco.

Diehl, J. C., Oyibo, P., Agbana, T., Jujjavarapu, S., Van, G.-Y., Vdovin, G., & Oyibo, W. (2020). Schistoscope: Smartphone versus Raspberry Pi based low cost diagnostic device for urinary Schistosomiasis. Paper presented at the 10th IEEE Global Humanitarian Technology Conference (GHTC), Seattle, USA.

Sluiter, M., Onasanya, A., Oladepo, O., Engelen, J. M. L., Keshinro, M., Van, G.-Y., & Jan-Carel, D. (2020). Target product profiles for devices to diagnose urinary schistosomiasis in Nigeria. Paper presented at the 10th IEEE Global Humanitarian Technology Conference (GHTC), Seattle, USA.

Agbana, T., Van, G., Oladepo, O., Vdovin, G., Oyibo, W., & Diehl, J. C. (2019, 17-20 Oct. 2019). Schistoscope: Towards a locally producible smart diagnostic device for Schistosomiasis in Nigeria. Paper presented at the 2019 IEEE Global Humanitarian Technology Conference (GHTC).

Phd Dissertations

Agbana, T. (2020). Smart optics against smart parasites: Towards point-of-care optical diagnosis of malaria and urogenital schistosomiasis. (PhD). Delft University of Technology, Delft. 

MSc. Thesis

Driel, N. v. (2020). Automating malaria diagnosis: a machine learning approach: Erythrocyte segmentation and parasite identification in thin blood smear microscopy images using convolutional neural networks. (MSc.). Delft University of Technology, Delft. 

Engelenburg, C. v. (2020). Potential enrichments in malaria diagnostics: hyperspectral imaging and group-equivariant neural networks. (MSc.). Delft University of Technology, Delft 

Sluiter, M. (2020). Smart Diagnostics for Low-Resource Settings: Target product profiles for devices to diagnose urinary schistosomiasis in Nigeria. (MSc.). Delft University of Technology, Delft

Grootheest, D. N. v. (2020). Towards a single shot holographic diagnosis of Schistosmiasis haematobium. (MSc.). Delft University of Technology, Delft.  

Jujjavarapu, S. (2020). Automating the Diagnosis and Quantification of Urinary Schistosomiasis. (MSc.). Delft University of Technology, Delft. 

Nijman, P. (2019). Digital holography integrated with flow cytometry for detection of urinary schistosomiasis. (MSc. MSc.). Delft University of Technology, Delft.

Heemels, A. (2019). Development towards a robust low-cost Fourier Ptychographic microscope: For the detection of malaria parasites. (MSc.). Delft University of Technology, Delft.

Lambers, L. H. R. (2019). Design of a 3D printer for healthcare in Sub-Saharan Africa. (MSc.). Delft University of Technology, Delft. 

Hoeboer, M. (2019). SODOS – Smart Optical Diagnostic Of Schistosomiasis. (MSc.). Delft University of Technology, Delft.