Boosting microscopic object detection via feature activation map guided poisson blending.

Microscopic examination of visible components based on micrographs is the gold standard for testing in biomedical research and clinical diagnosis. The application of object detection technology in bioimages not only improves the efficiency of the analyst but also provides decision support to ensure the objectivity and consistency of diagnosis. However, the lack of large annotated datasets is a significant impediment in rapidly deploying object detection models for microscopic formed elements detection. Standard augmentation methods used in object detection are not appropriate because they are prone to destroy the original micro-morphological information to produce counterintuitive micrographs, which is not conducive to build the trust of analysts in the intelligent system. Here, we propose a feature activation map-guided boosting mechanism dedicated to microscopic object detection to improve data efficiency. Our results show that the boosting mechanism provides solid gains in the object detection model deployed for microscopic formed elements detection. After image augmentation, the mean Average Precision (mAP) of baseline and strong baseline of the Chinese herbal medicine micrograph dataset are increased by 16.3% and 5.8% respectively. Similarly, on the urine sediment dataset, the boosting mechanism resulted in an improvement of 8.0% and 2.6% in mAP of the baseline and strong baseline maps respectively. Moreover, the method shows strong generalizability and can be easily integrated into any main-stream object detection model. The performance enhancement is interpretable, making it more suitable for microscopic biomedical applications.

Determination of Characteristic Volatile Component Fingerprint of Peucedanum Praeruptorum Dunn at Different Harvest Periods Based on HS-GC-IMS.

BACKGROUND: Peucedanum praeruptorum Dunn (PPD) is a Chinese herbal medicine with medicinal value. Clinical studies have shown that PPD has protective effects against wind-heat, cough, asthma, cardiovascular diseases, and cancer. Therefore, cultivation of PPD is becoming more common. However, it has been difficult to determine the optimal harvest period for botanical Chinese medicines such as PPD. OBJECTIVES: Odor characteristics are directly related to the chemical components contained in traditional Chinese medicines. In particular, for traditional Chinese medicines such as PPD that are rich in volatile components, higher quality usually means more beneficial volatile components. The purpose of this study was to analyze changes in PPD volatile components across different harvest periods, and provide the basis for the identification of the ideal harvest period to ensure PPD quality. METHODS: We measured the volatile components of PPD at different harvest periods using HS-GC-IMS to characterize its volatile component fingerprint at different harvest periods. RESULTS: We identified 80 volatile components in PPD across five harvest periods, and combined complex heatmap and PCA methods distinguish the characteristics of the different harvest periods, and used ion mobility spectrometry to determine the volatile organic compounds (VOCs), which mainly included compounds such as olefins, esters, alcohols, aldehydes, and ketones, and determined that the abundance of volatile components reached a peak in December. CONCLUSIONS: The fingerprint determination of characteristic volatile components based on HS-GC-IMS can distinguish PPD in different harvest periods. HIGHLIGHTS: We used HS-GC-IMS to determine the characteristic fingerprint of volatile components from PPD across different harvest periods. This approach differs from past studies, which have determined the optimal harvest time of medicinal materials based on only the content of a single active ingredient.

[Ingredients changes in Rehmanniae Radix processing based by HPLC-ELSD specific chromatogram].

To establish the HPLC-ELSD specific chromatogram analysis method of Rehmanniae Radix and Rehmanniae Radix Prae-parata, and analyze and compare their chemical compositions, so as to reveal the change regularity of compositions during the proces-sing. By HPLC-ELSD method, the chromatographic column for Prevail Carbohydrate ES(4.6 mm ×250 mm, 5 µm) was adopted, with acetonitrile(A)-water(B) as mobile phase for gradient elution, and the evaporative light-scattering detector was used. A total of 23 batches of Rehmannia Radix samples, and 25 batches of Rehmanniae Radix Praeparata samples and processing dynamic samples were compared. The established method had a great repeatability, precision and stability. Eight common chromatographic peaks were extracted from 23 batches of Rehmanniae Radix samples, 8 common peaks were extracted from 25 Rehmanniae Radix Praeparata, and 7 chromatographic peaks were identified. The composition ratio of Rehmannia Radix was changed greatly during the processing. When the simila-rity≥0.95 and the fructose peak area was more than 2 times of stachyose tetrahydrate or more than 20 times of raffinose, the processing degree conformed to the requirements of empirical identification. The three main oligosaccharides of Rehmanniae Radix were sucrose that was heated to generate fructose and glucose, stachyose tetrahydrate that was heated to generate melibiose, sucrose and fructose, and stachyose tetrahydrate that was heated to generate manninotriose. The change in the index of proportion between monosaccharides and oligosaccharides can be used as the quantitative criterion for the processing quality of Rehmanniae Radix Praeparata.

[Study on original plant species and geographical distribution of Fructus Aurantii].

The original plant species of Fructus Aurantii are multitudinous and complex, and their requirements to the growing environment is strict. In order to clarify the original plant species and geographical distribution of Fructus Aurantii which recorded in the standards and circulated, used in commodity. The national and local standards of Chinese medicinal materials were collected and the original plants of Fructus Aurantii recoded in standards were found. Ten original plant species of Fructus Aurantii (including varieties of cultivars, the same below) were recorded in the Chinese pharmacopoeia and six local standards of Zhejiang, Yunnan and Guizhou etc. The producing areas and commodity in markets of Fructus Aurantii were investigated. The growth environment and geographical distribution of them were analyzed. There are six types of Fructus Aurantii i.e., Fructus Aurantii Chuan, Fructus Aurantii Xiang, Fructus Aurantii Jiang, Fructus Aurantii Qu, Fructus Aurantii Su, Fructus Aurantii Wen, and nineteen species of original plants in the practical commodities. There are four major Fructus Aurantii producing areas: Sichuan Basin, Dongting Lake Plain, Poyang Lake Plain, Jinqu Basin and its surrounding hilly areas. All of them are located in the area of the east longitude 104° to 121° and the northern latitudes 27° to 31°. There is a certain difference between the actual commodity and the standards of medicinal materials. It is suggested that the traditional mainstream types of Fructus Aurantii with fine quality should be accepted into Chinese Pharmacopoeia, and the types with poor quality should be withdrawn from Chinese Pharmacopoeia.

Distinguishing the Chinese materia medica Tiepishihu from similar Dendrobium species of the same genus using histological and microscopic method.

The Chinese Materia Medica, Tiepishihu, used as a tonic for over one thousand years, is a well-known precious medicine in China. According to the Chinese Pharmacopoeia, its source is the species Dendrobium officinale Kimura et Migo, which is distinguished from other species in Dendrobium genus. However, these species from the same genus are similar with Tiepishihu and caused confusion in the market. To find a quick and simple method to distinguish Tiepishihu from other similar species, histologic and microscopic methods were combined together to investigate the transverse section of stem of Tiepishihu and other similar species. Phloroglucinol test solution with hydrochloric acid was used to reveal the lignified tissue by staining the transverse section of Tiepishihu and similar species. Results revealed the unique identification characteristics to distinguish Tiepishihu from similar species, which were difficult to distinguish by other methods. The identification characteristics of Tiepishihu include the cells of vascular bundle sheath were stained red, parenchyma cells were not stained red. What's more, other species can be distinguished from each other with microscopic and histological characteristics. These characteristics proved stable and can be easily observed by normal light microscopic examination. This method is rapid, accurate, stable, and inexpensive.

[Fingerprint analysis of Fritillaria thunbergii using rapid resolution liquid chromatography coupled with electrospray ionization quadrupole time-of-flight tandem mass spectrometry].

A fingerprint method for quality assessment of Fritillaria thunbergii was developed by rapid resolution liquid chromatography coupled with electrospray ionization quadrupole time-of-flight tandem mass spectrometry (RRLC-Q-TOF-MS). The separation was performed using Agilent Eclipse Plus C18 column (2.1 mm x 100 mm, 1.8 microm) by gradient elution with acetonitrile and 0.1% formic acid aqueous solution (containing 10 mmol x L(-1) ammonium formate) as the mobile phase. Q-TOF-MS was used to obtain the accurate mass for precursor and product ions. Under this chromatographic and MS condition, 12 batches of F. thunbergii and its adulterants (F. hupehensis and F. pallidiflora) were analyzed by RRLC-Q-TOF-MS. Fifteen steroidal alkaloids were identified from F. thunbergii, F. hupehensis and F. pallidiflora and nine were assigned as the common characteristic peaks for F. thunbergii. The RRLC-Q-TOF-MS fingerprint of F. thunbergii was different significantly with those of F. hupehensis and F. pallidiflora. The quality of 12 batches of F. thunbergii samples were finally evaluated by hierarchical clustering analysis (HCA) and principle component analysis (PCA). This convenient and high specific method could be used to identify and evaluate the quality of the F. thunbergii.