Analysis of isolation of cerebral cortical neurons in rats by different methods

The aim of this study was to find a way to efficiently separate neuronal cells from the cerebral cortex of adult rats,providing a reference method for rapid acquisition of neuronal cells from the adult rat brain.Fifteen SD rats were randomly divided into three groups,with five SD rats in each group.Then,neuron cells were isolated from the adult rat cerebral cortex by the grinding method,the trypsin method,and the collagenase II method,respectively.The expression of anti-NeuN in the neurons of each group was analyzed by flow cytometry.The acquisition rates and morphology of neurons of each group were observed by immunofluorescence staining.The grinding or collagenase II method is more suitable for rapid acquisition of neuronal cells from an adult rat’s cerebral cortex.The number of neuron cells obtained by the trypsin method were very few,so it is not convenient for later experiments.

Hierarchical Parking Path Planning Based on Optimal Parking Positions

Automated valet parking(AVP)has attracted the attention of industry and academia in recent years.However,there are still many challenges to be solved,including shortest path search,optimal time efficiency,and applicability of algorithm in complex scenarios.In this paper,a hierarchical AVP path planner is proposed,which divides a complete AVP path planning into the guided layer and the planning layer from the perspective of global decision-making.The guided layer is mainly used to divide a complex AVP path planning into several simple path plannings,which makes the hybrid A*algorithm more applicable in a complex parking environment.The planning layer mainly adopts different optimization methods for driving and parking path planning.The proposed method is verified by a large number of simulations which include the verification of the optimal parking position,the performance of the planner for perpendicular parking,and the scalability of the planner for parallel parking and inclined parking.The simulation results reveal that the efficiency of the algorithm is increased by more than 20 times,and the average path length is also shortened by more than 20%.Furthermore,the planner overcomes the problem that the hybrid A*algorithm is not applicable in complex parking scenarios.

Fusing Thienoisoindigo to the Conjugated Ribbons with Strong Absorption in the Second Near-Infrared Window

Organic dyes with strong absorption in the second near-infrared(NIR-II)window(1000-1700 nm)have multiple applications.However,the design and synthesis of stable NIR-II absorbing organic dyes are very challenging and constantly defy our synthetic ability.In this work,we have successfully synthesized a series of soluble and stable fused thienoisoindigo(nThIID)ribbons.The absorption maximum(λ_(max))of the ribbons increases from 644 nm of 1ThIID to 1252 nm of 6ThIID.Importantly,nThIIDs with n≥4 all display strong absorption in the NIR-II window with molar extinction coefficients(ε_(max))greater than 105 L mol^(−1)cm^(−1)atλmax.These molecules are promising photothermal conversion dyes with photothermal conversion efficiencies of ca.60%under 1064 nm laser irradiation.