Graf M, Sarkar A, Svensson CM, Munser AS, Schröder S, Müller E, Hengoju S, Figge MT, Rosenbaum MA (2025) Multiplexed, rapid phenotypic antibiotic susceptibility testing based on angle-resolved light scattering imaging of microfluidic droplets. J Adv Res S2090-1232(25), 00751-9.

Graf M^*, Sarkar A^*, Svensson CM, Munser AS, Schröder S, Hengoju S, Rosenbaum MA^#, Figge MT^# (2025) Rapid detection of microbial antibiotic susceptibility via deep learning supported analysis of angle-resolved scattered-light images of picoliter droplet cultivations. Sens Actuators B Chem 424, 136866.

Abou-Kandil A^*, Tröger-Görler S^*, Pschibul A^*, Krüger T, Rosin M, Schmidt F, Akbarimoghaddam P, Sarkar A, Cseresnyés Z, Shadkchan Y, Heinekamp T, Gräler MH, Barber AE, Walther G, Figge MT, Brakhage AA, Osherov N^#, Kniemeyer O^# (2024) The proteomic response of Aspergillus fumigatus to Amphotericin B (AmB) reveals the involvement of the RTA-like protein RtaA in AmB resistance. microLife 6, uqae024.

Sarkar A, Praetorius JP, Figge MT^# (2024) Deep learning-based characterization of neutrophil activation phenotypes in ex vivo human Candida blood infections. Comput Struct Biotechnol J 23, 1260-1273.

Belyaev I^*, Marolda A^*, Praetorius JP, Sarkar A, Medyukhina A, Hünniger K, Kurzai O, Figge MT (2022) Automated characterisation of neutrophil activation phenotypes in ex vivo human Candida blood infections. Comput Struct Biotechnol J 20, 2297-2308.

Sarkar A (2022) Explainable aI and its applications in healthcare. In: Mehta M, Palade V, Chatterjee I (eds.) Explainable AI: Foundations, Methodologies and Applications. 232, pp. 111-133. Springer. ISBN: 978-303112807-3. (Review)

Sarkar A, Vandenhirtz J, Nagy J, Bacsa D, Riley M (2021) Identification of images of COVID-19 from chest X-rays using deep learning: Comparing COGNEX vision Pro deep learning 1.0™ software with open source convolutional neural networks. SN Comput Sci 2(3), 130.