基于改进Bayes抠图算法的麦穗小穗自动计数方法

小麦产量评估需人工获取田间单位面积的麦穗数和麦穗小穗数，往往耗时耗力。为了实现高效、自动地麦穗小穗计数，提出一种基于改进Bayes抠图算法的麦穗小穗自动计数方法。该方法首先利用改进Bayes抠图算法对获取地自然生长条件下的麦穗图像进行抠图，将麦穗从自然背景中分割出来。然后对该图像进行平滑滤波和二值化，运用迭代极限腐蚀运算对二值化图像进行腐蚀处理，去除麦穗图像中的麦芒，分离出麦穗上每个单独的麦穗小穗。再运用面积滤波滤除掉面积过小的区域，对剩余区域的黑洞进行填充，由此每个单独的麦穗小穗形成一个单独的连通区域，最后对连通区域进行标记和计数，完成麦穗小穗的自动计数。使用4个小麦品种的麦穗图像对麦穗上的小穗进行计数验证，结果表明，该方法在识别4个品种田间麦穗单幅图像中小穗数量的平均计数精度达到94.53%，平均相对误差为5.47%，对比已有麦穗小穗自动计数方法，计数精度显著提高，这对于小麦在线产量预估具有重要意义。     

Optimization of an in vitro assay to detect Streptococcus equi subsp. equi

Streptococcus equi is the etiologic agent of a highly infectious upper respiratory disease of horses known as strangles. Bacterial culture methods and polymerase chain reaction (PCR) of nasopharyngeal washes and guttural pouch lavages are used routinely to test clinical and carrier animals for the presence of S. equi but no definitive or gold standard test method has been shown to be optimal. We hypothesized that (i) a flocked swab submerged in ten-fold serial dilution suspensions of S. equi prepared in 0.9% NaCl would detect more colony forming units (CFU) than a rayon swab when used to inoculate a blood agar plate, (ii) centrifugation of a 1ml aliquot of each suspension would improve the limit of detection (LOD) by bacterial culture and PCR compared to the culture or PCR of submerged swab samples, (iii) PCR of the centrifuged samples from each suspension would be more sensitive than aerobic culture alone, and (iv) PCR of a 1ml aliquot directly from a sample would be more sensitive than PCR of a sample following submersion of a flocked swab in 1ml saline. Using 7 ten-fold serial dilutions of S. equi in 0.9% NaCl, the LOD for 4 bacterial culture methods and 3 PCR methods were compared. The LOD of direct PCR and flocked swab culture was determined at 1cfu/ml. All PCR methods were equivalent to each other and were more sensitive than any of the culture methods at the lower dilutions. At higher cell densities (>100cfu/ml) flocked swab culture was not statistically better than rayon swab culture, but it was superior to all other methods tested.     

在系统可编程技术分析

在系统可编程技术将数字系统的设计过程由书面设计──硬件搭配──制做样机改变为书面设计──仿真──制做样机,避免了搭试的诸多弊端。其关键环节仿真,是计算机发展和可编程器件使用的共同结果。     

宁丰系苹果引种栽培试验研究报告

通过引种栽培宁丰系苹果试验研究,阐明宁丰系苹果引种栽培关键技术环节,了解宁丰系苹果的生物学特性、适应性及生长表现,为以后更广泛地开展推广宁丰系苹果引种栽培积累技术资料。     

Predicting likelihood of in vivo chemotherapy response in canine lymphoma using ex vivo drug sensitivity and immunophenotyping data in a machine learning model

We report a precision medicine platform that evaluates the probability of chemotherapy drug efficacy for canine lymphoma by combining ex vivo chemosensitivity and immunophenotyping assays with computational modelling. We isolated live cancer cells from fresh fine needle aspirates of affected lymph nodes and collected post‐treatment clinical responses in 261 canine lymphoma patients scheduled to receive at least 1 of 5 common chemotherapy agents (doxorubicin, vincristine, cyclophosphamide, lomustine and rabacfosadine). We used flow cytometry analysis for immunophenotyping and ex vivo chemosensitivity testing. For each drug, 70% of treated patients were randomly selected to train a random forest model to predict the probability of positive Veterinary Cooperative Oncology Group (VCOG) clinical response based on input variables including antigen expression profiles and treatment sensitivity readouts for each patient's cancer cells. The remaining 30% of patients were used to test model performance. Most models showed a test set ROC‐AUC > 0.65, and all models had overall ROC‐AUC > 0.95. Predicted response scores significantly distinguished (P < .001) positive responses from negative responses in B‐cell and T‐cell disease and newly diagnosed and relapsed patients. Patient groups with predicted response scores >50% showed a statistically significant reduction (log‐rank P < .05) in time to complete response when compared to the groups with scores <50%. The computational models developed in this study enabled the conversion of ex vivo cell‐based chemosensitivity assay results into a predicted probability of in vivo therapeutic efficacy, which may help improve treatment outcomes of individual canine lymphoma patients by providing predictive estimates of positive treatment response.     

Bioautography and chemical characterization of antimicrobial compound(s) in commercial water-soluble annatto extracts

Annatto preparations based on extracts of the seed of tropical bush Bixa orellana L consist of carotenoid-type pigments. Previous reports indicate that commercial annatto extracts have biological activities against microorganisms of significance to food fermentation, preservation, and safety. The objective of this study was to separate and identify the compound(s) responsible for the antimicrobial activity of annatto preparations. Commercial water-soluble annatto extracts were screened by thin-layer chromatography and bioautography followed by liquid chromatography/photodiode array/mass spectrometry (LC/PDA/MS) analysis of active fractions. Bioautography revealed two fractions with antimicrobial activity against Staphylococcus aureus. LC/PDA/MS analysis of both fractions revealed 9'-cis-norbixin (UV(max) 460 and 489 nm) and all-trans-norbixin (UV(max) 287, 470, and 494 nm) as the major components. Structure confirmation was achieved by (1)H NMR spectroscopy. Results indicate that 9'-cis-norbixin and all-trans-norbixin are responsible for the antimicrobial properties of annatto.