Visible microspectrophotometry coupled with machine learning to discriminate the erythrocytic life cycle stages of P. falciparum malaria parasites in functional single cells.

MLA

Adegoke, John A., et al. “Visible Microspectrophotometry Coupled with Machine Learning to Discriminate the Erythrocytic Life Cycle Stages of P. Falciparum Malaria Parasites in Functional Single Cells.” The Analyst, vol. 147, no. 12, June 2022, pp. 2662–70. EBSCOhost, https://doi.org/10.1039/d2an00274d.

APA

Adegoke, J. A., Raper, H., Gassner, C., Heraud, P., & Wood, B. R. (2022). Visible microspectrophotometry coupled with machine learning to discriminate the erythrocytic life cycle stages of P. falciparum malaria parasites in functional single cells. The Analyst, 147(12), 2662–2670. https://doi.org/10.1039/d2an00274d

Chicago

Adegoke, John A, Hannah Raper, Callum Gassner, Philip Heraud, and Bayden R Wood. 2022. “Visible Microspectrophotometry Coupled with Machine Learning to Discriminate the Erythrocytic Life Cycle Stages of P. Falciparum Malaria Parasites in Functional Single Cells.” The Analyst 147 (12): 2662–70. doi:10.1039/d2an00274d.