A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm.

Accurate and early detection of anomalies in peripheral white blood cells plays a crucial role in the evaluation of well-being in individuals and the diagnosis and prognosis of hematologic diseases. For example, some blood disorders and immune system-related diseases are diagnosed by the differential count of white blood cells, which is one of the common laboratory tests. Data is one of the most important ingredients in the development and testing of many commercial and successful automatic or semi-automatic systems. To this end, this study introduces a free access dataset of normal peripheral white blood cells called Raabin-WBC containing about 40,000 images of white blood cells and color spots. For ensuring the validity of the data, a significant number of cells were labeled by two experts. Also, the ground truths of the nuclei and cytoplasm are extracted for 1145 selected cells. To provide the necessary diversity, various smears have been imaged, and two different cameras and two different microscopes were used. We did some preliminary deep learning experiments on Raabin-WBC to demonstrate how the generalization power of machine learning methods, especially deep neural networks, can be affected by the mentioned diversity. Raabin-WBC as a public data in the field of health can be used for the model development and testing in different machine learning tasks including classification, detection, segmentation, and localization.

Molecular epidemiology and phylogenetic analysis of human T-lymphotropic virus type 1 in the tax gene and it association with adult t-cell leukemia/lymphoma disorders.

BACKGROUND AND OBJECTIVES: Human T-lymphotropic virus type-1 (HTLV-1) belongs to retrovirus family that causes the neurological disorder HTLV-1 adult T-cell leukemia/lymphoma (ATLL). Since 1980, seven subtypes of the virus have been recognized. HTLV-1 is prevalent and endemic in some regions, such as Africa, Japan, South America and Iran as the endemic regions of the HTLV-1 in the Middle East. To study HTLV-1 subtypes and routes of virus spread in Iran, phylogenetic and phylodynamic analyses were performed and for as much as no previous phylogenetic studies were conducted in Tehran, we do this survey. To this purpose, the Tax region of HTLV-1 was used. MATERIALS AND METHODS: In this study 100 samples were collected from blood donors in Tehran. All samples were screened for anti-HTLV-I antibodies by ELISA. Then, genomic DNA was extracted from all positive samples (10 people), and for confirmation of infection, ordinary PCR was performed for both the HBZ and LTR regions. Moreover, the Tax region was amplified and purified PCR products were sequenced and analyzed, and finally, a phylogenetic tree was constructed using Mega X software. RESULTS: Phylogenetic analysis confirmed that isolates from Iran, Japan, Brazil, and Africa are located within the extensive "transcontinental" subgroup A clade of HTLV-1 Cosmopolitan subtype a. The Japanese sequences are the closest to the Iranian sequences and have the most genetic similarity with them. CONCLUSION: Through phylogenetic and phylodynamic analyses HTLV-1 strain in Tehran were characterized in Iran. The appearance of HTLV-1 in Iran was probably happened by the ancient Silk Road which linked China to Antioch.

Molecular diagnosis of factor XIII deficiency, data from comprehensive coagulation laboratory in Iran.

: Diagnosis of factor XIII (FXIII) deficiency (FXIIID) as a rare bleeding disorder is a challenge worldwide. Thus, in the present study, we used different methods including two molecular methods for detection of FXIIID. This study was conducted on individuals suspected to FXIIID. All individuals were checked by two routinely used methods of clot solubility test in Iran and two other clot solubility tests as well as FXIII activity and antigen assays. Molecular analysis was performed by PCR-restriction fragment length polymorphism (PCR-RFLP) and tetra-primer amplification refractory mutation system (T-ARMS)-PCR for only FXIIID mutation in southeast Iran (p.Trp187Arg), previously associated with severe FXIIID. Out of 151 individuals, 26 had abnormal clot solubility test with all four methods. PCR-RFLP revealed that 27 patients were homozygotes for p.Trp187Arg, whereas 12 were heterozygotes. Molecular analysis revealed that in routinely used clot solubility combinations, two homozygotes (∼8%) were missed, whereas in two other combinations, one patient (∼4%) was missed. One false positive result was observed in routinely used methods, whereas further combinations don't have false positive. T-ARMS-PCR had three discrepancies with PCR-RFLP and sequencing confirmed that the results of T-ARMS-PCR were false. FXIII antigen assay diagnosed all homozygotes, whereas in FXIII activity assay, two homozygotes had higher than 5% FXIII activity that inconsistent with severe deficiency. It seems that clot solubility test is not enough sensitive and specific and molecular analysis is the most reliable method for detection of FXIIID in areas such Iran with one or few specific mutations.

Laboratory Diagnosis of Factor XIII Deficiency in Developing Countries: An Iranian Experience.

Factor XIII (FXIII) deficiency is an extremely rare bleeding disorder with an approximately 12-times higher than the rest of the world. The International Society for Thrombosis and Hemostasis (ISTH) suggested a standard algorithm for precise diagnosis and classification of FXIII deficiency (FXIIID). However, due to lack of investment in proper equipment and procedures in Iran, almost no part of this algorithm can be used to diagnose Iranian patients. Thus, this study proposes a guideline for accurate molecular and laboratory diagnosis of FXIIID based on the available tools. Because this study suggests a simple and reliable algorithm for early diagnosis, it can therefore, reduce the rates of morbidity and mortality of FXIIID patients with this condition.