Examination of peripheral blood smears by light microscopy helps to provide valuable information for disease diagnosis, but remains one of the major labor-intensive procedures in hematology laboratory. As a key part of white blood cell morphology examination, leukocyte detection at 10× magnification objective lens is considered as small object detection problem in this paper. After establishing leukocyte dataset at 10× magnification objective lens, we design a classification-based two-stage approach to this challenging problem. Stage one generates proposals by pixellevel ANN pipeline based on the color and size of leukocyte. Stage two is responsible for proposal classification task by CNN architecture. Extensive experiments are carried out to prove its effectiveness for peripheral blood samples. Experimental results demonstrate that the proposed classification-based approach, obtains a desired precision of 94.69%, recall of 95.73%, accuracy of 90.85% and Fβ of 0.96. The data is available at https://doi.org/10.6084/m9.figshare.9037370.v1.

Aquatic-aerial multimodal vehicle is a new concept aircraft that can freely shuttle between water and air. Some of the natural organisms provide the inspiration to realize this multi-locomotion. Most of current prototypes use rigid link mechanisms or hinges to morph the structure thus to adapt to the aquatic-aerial environment, which is commonly complicated and bulky. In this paper, we present a novel prototype with pneumatically-driven soft fins and arms that can fold and spread just like the flying squid. The fins and arms can augment the lift force during flying by spreading and reduce drag force during swimming by folding. The performance of the morphable structures was investigated in wind and water tunnel. The results explain the tradeoff strategies of multimodal-locomotion between water and air, and verify the feasibility of the novel aquatic-aerial vehicle with soft morphable structures.