Enumeration Of Cells Research Articles

Allowable total error in CD34 cell analysis by flow cytometry based on state of the art using Spanish EQAS data.

CD34+ hematopoietic stem cell (HSC) enumeration, crucial for HSC transplantation, is performed by flowcytometry to guide clinical decisions. Variability in enumeration arises from biological factors, assay components, and technology. External quality assurance schemes (EQAS) train participants to minimize inter-laboratory variations. The goal is to estimate total error (TE) values for CD34 cell enumeration using state-of-the-art (SOTA) methods with EQA data and to define quality specifications by comparing TE using different cutoffs. A total of 3,994 results from 40 laboratories were collected over 11 years (2011-2022) as part of the IC-2 Stem Cells Scheme of the GECLID Program that includes absolute numbers of CD34 cells. The data were analyzed in two periods: 2011-2016 and 2017-2022. The TE value achieved by at least 60 %, 70 %, 80 %, and 90 % of laboratories was calculated across the two different periods and at various levels of CD34 cell counts: above 25, 25 to 15, and under 15 cells/μL. A decrease in the SOTA-based TE for CD34 cell enumeration was observed in the most recent period in 2017-2021 compared with 2012-2016. A significant increase of P75 TE values in the low CD34 range (<15 cells/μL) levels was found (p<0.001). Technical advancements contribute to the decrease TE over time. The TE of CD34 cell FC counts is measure-dependent, making it responsive to precision enhancement strategies. The TE measured by EQAS in this study may serve as a quality specification for implementing ISO 15189 standards in clinical laboratories for CD34 cell enumeration.

CTNI-63. RHENIUM (186RE) OBISBEMEDA (RHENIUM NANOLIPOSOME,186RNL) FOR THE TREATMENT OF LEPTOMENINGEAL METASTASES (LM): SUMMARY OF THE PHASE 1 DOSE ESCALATION STUDY AND PHASE 2 ADMINISTERED DOSE SELECTION

Abstract BACKGROUND Leptomeningeal metastases (LM) is a devastating systemic cancer complication most often seen with breast, lung, and melanoma, with limited treatment options and poor survival. Rhenium (186Re) Obisbemeda (186RNL) provides the combination of effective therapeutic beta radiation, simultaneous gamma-decay for imaging, and ~90-hour physical half-life for optimal radiation delivery. A summary of the Phase 1 dose escalation study, expected to be completed, will be presented. METHODS ReSPECT-LM is a Phase 1 dose escalation study for patients with LM from any primary cancer. Adult patients are given a single dose of 186RNL via intraventricular catheter (Ommaya reservoir) in an outpatient setting to determine the maximum tolerated/feasible dose (MTD/MFD), safety, and tolerability. Seven administered dose cohorts in a 3 + 3 design, from 6.6 mCi to 109.96 mCi, were anticipated. RESULTS For the first 5 cohorts, doses were well-tolerated; most AEs were Grade 1 and 2 with 1 DLT (Cohort 5) at time of abstract submission. CSF tumor cell enumeration assays were performed with a maximum reduction over baseline seen at Day 28. Radiation absorbed doses were calculated for the ventricles, cranial subarachnoid space, and spinal fluid and showed a linear increase with administered dose, with liver and spleen remaining low. Neurological symptoms were reported to improve. We expect the Phase 1 conclusion and the RP2D to be determined for conference reporting; additionally, based on duration of benefit seen during the Phase 1, a multidose paradigm will be initiated to extend benefit. CONCLUSION A single dose of 186RNL for patients with LM has been well-tolerated, with high absorbed doses to the treatment area, acceptable organ doses, and promising clinical improvement and reductions in tumor cell count. Phase 2 is expected to begin enrollment by Q4 2024. Additionally, based on these data, a Phase 1 multidose study is planned to be initiated this year.

Detection of circulating tumor cells in non-metastatic prostate cancer through integration of a microfluidic CTC enrichment system and multiparametric flow cytometry.

Prostate cancer (PCa) is the second most common cancer among men and the fifth leading cause of cancer death. Circulating tumor cell (CTC) enumeration and characterisation in PCa has been shown to provide valuable information on prognosis of disease, therapy management and detection of resistance. Here, Cellsway's microfluidic platform for high-throughput enrichment of intact CTC populations was used to isolate CTCs from the blood of 20 localised PCa patients and 10 healthy donor samples to evaluate the clinical performance of the technology. To enumerate and characterise CTCs, a multi-parameter flow cytometry analysis was performed on the enriched CTC suspension using CTC-specific biomarkers. CTCs were detected in 17 of 20 patient samples, which corresponds to 85% CTC positivity. The median CTC count per 7.5 ml blood was 2 (1-9). In 80% of patients (n = 16), the number of CTCs ranged from 1 to 5, and in 5% of patients (n = 1) the number of CTCs was above 5. No CTCs were observed in the blood samples of 10 healthy volunteers, demonstrating the high specificity and low risk of false positives of the technology.

Automated analysis of flow cytometry data with minimal training files: Research evaluation of an elastic image registration algorithm for TBNK, stem cell enumeration, and lymphoid screening tube assays.

Automated analysis of flow cytometry data can improve objectivity and reduce analysis time but has generally required work by software and algorithm experts. Here, we investigated the performance of BD ElastiGate™ Software (hereafter ElastiGate), which allows users to automate gating by selecting gated training files, then uses elastic image registration to gate new files. Three assays of increasing complexity were examined: TBNK, stem cell enumeration (SCE), and lymphoid screening tube (LST). For TBNK analysis, 60 peripheral blood (PB) samples from normal, HIV+, and controls were tested with ground truth analysis by an existing automated method. For SCE, 128 samples including bone marrow (BM), cord blood (CB), and apheresis were tested with analysis by multiple manual analysts. For LST, 80 PB and 28 BM samples were tested with manual analysis. For ElastiGate, a minimal number of training files was selected. Results were compared by Bland-Altman or F1 score analysis. For TBNK, ElastiGate using three training files (1 control, 1 normal, 1 HIV+) showed mean %bias across all reported populations between -1.48% and 7.13% (average 2.08%). For SCE, ElastiGate using three BM and two CB training files showed median F1 scores >0.93 in comparison to >0.94 and >0.92 for two other manual analysts. For LST, ElastiGate using four training files for each of PB and BM showed median F1 scores >0.945 for 13 of 14 PB populations and 10 of 14 BM populations, with generally similar or better performance for normal samples compared to abnormal; populations with lower scores were often associated with lower agreement between manual analysts. Based on analysis of three assays with four sample types of increasing complexity, ElastiGate with minimal training files may perform as an automated gating assistant. The results reported here are for research use only, not for use in diagnostic or therapeutic procedures.

A-140 Reducing cell count bias with the GloCyte® Automated Cell Counter for CSF: an observational study at Loyola University Medical Center

Abstract Background Accurate STAT cerebrospinal fluid (CSF) cell counts are critical in supporting diagnoses of meningitis, malignancy, demyelinating disease, and hemorrhage. Limitations of automated analyzers to achieve acceptable linearity for the clinically relevant range has maintained manual CSF cell counting as the preferred method. Manual cell counting, performed with a hemocytometer and bright field microscope, is time-consuming, requires specialized skills and depends on human interpretation. This subjectivity inherently introduces the potential for non-random error in the enumeration of both total nucleated cells (TNC) and red blood cells in CSF by manual methods. The purpose of this study was to evaluate and compare the level of bias inherent in manual determination (TNC) in CSF as compared to the GloCyte Automated Cell Counter. Methods Result bias data for CSF specimens processed in the hematology lab at Loyola University Medical Center, a quaternary care 547-bed academic medical center in Maywood, IL, was analyzed for manual cell counting using a Neubauer-improved hemocytometer and GloCyte, an FDA-cleared cell counting device employing fluorescence technology to automate RBC and TNC counts in under 5 minutes, with linearity down to 0 cells/µL. Result bias was determined by defining the “expected result” for both GloCyte and hemocytometer as the initial cell count determined at a 1:5 dilution of a freshly-collected CSF sample and calculating the expected cell count for subsequent serial dilutions of 1:10, 1:20, 1:50, 1:100 for each method. The actual TNC count and the disparity of the actual result from the expected result was recorded as bias. Results Data are summarized below in the Table, and indicate a lower bias for GloCyte compared to manual counts across the range of dilutions. Conclusions This study demonstrates that GloCyte can be implemented as a means of effectively mitigating the reporting bias of CSF TNC counts performed with a Neubauer-improved hemocytometer.

Enumeration and gentle sorting of immune cells on chip, key to next generation advanced therapies in outpatient setting

BackgroundA thorough understanding of immune-oncology and molecular medicine has been vital in the development of cell therapeutics. At the basis of this translational research and its future implementation into a medicinal product, lies the availability of pure and viable cell populations. Currently, FACS and magnetic bead isolation are successfully used but suffer to fulfill all requirements. FACS is costly and difficult to upscale due to the limitation of shear stress, especially fragile, cells can handle. Therefore, magnetic bead isolation is often used as it is gentler, but it lacks the multiparametric aspect to isolate more complex cellular profiles. AimsWe aim to develop a versatile technology able of multi marker detection and isolation of complex cell types with high purity, viability and throughput. MethodsWe have developed a gentle sorting mechanism based on a jet flow created by micro vapor bubbles, enabling a closed microfluidic cell isolation platform capable of multiparametric sorting with high viability, purity and throughput. In this work we compared the purity, recovery and viability of sorted CD4+ CD14- cells to magnetic isolation, most often used for other cell manufacturing approaches. Futhermore, we cultured the sorted cells of both isolation strategies and compared their growth curve and expression of activation-induced IL2 and IFN-γ. ResultsWe demonstrate that this tool can achieve a pure population of CD4+ CD14- cells with high viability after sorting without compromising the recovery. On top of the viability also the growth and activation potential of sorted cells is unhampered by comparison to the benchmark gentle magnetic isolation. ConclusionsOur technology allows for the development of a compact system which sets it apart from other efforts intended to create automated cell therapeutic solutions.

Angelica sinensis polysaccharides ameliorate 5-FU-induced stress anemia via promoting extramedullary erythroblastic island central macrophage-mediated erythroid differentiation

BackgroundChronic anemia, especially chemotherapy-induced anemia, is a common and intractable symptom. Puzzlingly, the conventional anemic treatment may lead to various side effects, and the mechanism of stress anemia remains unclear. MethodsHere, peripheral blood, histopathological and transmission electron microscopical examination, colony forming test, flow cytometry, and qRT-PCR assay were used to investigate the effects of Angelia sinensis polysaccharide (ASP), one main active ingredient of Chinese herb medicine Angelica sinensis, on ameliorating 5-fluorouracil (5-FU)-induced stress anemia. ResultsWe found that intraperitoneal injection to a C57BL/6J mouse ASP 100 mg/kg per day for consecutive 10 days or 14 days, remarkably accelerated the recovery of RBC, hemoglobin, and hematocrit in blood. ASP alleviated 5-FU-caused impairment of bone marrow cell and BFU-E enumeration. Meanwhile, ASP antagonized 5-FU promoting extramedullary erythropoiesis in the spleen, inducing splenomegaly due to stress erythroblastic islands, and occurrence of megakaryocytes and hematopoietic precursors in splenic colonies. ASP increased splenic stress BFU-E enumeration, driving BFU-E differentiation towards Pro-E and end-stage erythroblasts. Furthermore, ASP increased the number of F4/80+VCAM-1+ splenic erythroblastic island central macrophages, upregulating genetic expression of EPOR, Emp, VCAM-1, Hmox-1, Trf, TfR1, Fpn1, Spi-C, DNase2a, Tim4, MertK, and Klf1 in splenocytes. ConclusionsOur findings indicate that the possible mechanism of chemotherapy-induced anemia is related to stress erythroid maturation arrest. Whereas, ASP may promote stress erythroid differentiation via elevated EPO sensitivity in extramedullary hematopoietic organs and enhanced macrophage-mediated adhesion, iron homeostasis and transfer, and nuclear engulfment, which may represent a promising therapeutic strategy.

Simultaneous enumeration of yeast and bacterial cells in the context of industrial bioprocesses

Abstract In scenarios where yeast and bacterial cells coexist, it is of interest to simultaneously quantify the concentrations of both cell types, since traditional methods used to determine these concentrations individually take more time and resources. Here, we compared different methods for quantifying the fuel ethanol Saccharomyces cerevisiae PE-2 yeast strain and cells from the probiotic Lactiplantibacillus plantarum strain in microbial suspensions. Individual suspensions were prepared, mixed in 1:1 or 100:1 yeast-to-bacteria ratios, covering the range typically encountered in sugarcane biorefineries, and analyzed using bright field microscopy, manual and automatic Spread-plate and Drop-plate counting, flow cytometry (at 1:1 and 100:1 ratios), and a Coulter counter (at 1:1 and 100:1 ratios). We observed that for yeast cell counts in the mixture (1:1 and 100:1 ratios), flow cytometry, the Coulter counter, and both Spread-plate options (manual and automatic CFU counting) yielded statistically similar results, while the Drop-plate and microscopy-based methods gave statistically different results. For bacterial cell quantification, the microscopy-based method, Drop-plate, and both Spread-plate plating options and flow cytometry (1:1 ratio) produced no significantly different results (P &amp;gt; 0.05). In contrast, the Coulter counter (1:1 ratio) and flow cytometry (100:1 ratio) presented results statistically different (P &amp;lt; 0.05). Additionally, quantifying bacterial cells in a mixed suspension at a 100:1 ratio wasn't possible due to an overlap between yeast cell debris and bacterial cells. We conclude that each method has limitations, advantages, and disadvantages.

1610P Circulating tumour cell (CTC) enumeration and overall survival (OS) in men with metastatic castration-resistant prostate cancer (mCRPC) treated with xaluritamig

1610P Circulating tumour cell (CTC) enumeration and overall survival (OS) in men with metastatic castration-resistant prostate cancer (mCRPC) treated with xaluritamig

The prognostic significance of circulating tumor cell enumeration and HER2 expression by a novel automated microfluidic system in metastatic breast cancer

BackgroundThe prognostic value of circulating tumor cells (CTCs) in metastatic breast cancer (MBC) has been extensively studied and verified by the CellSearch® system. Varieties of microfluidic systems have been developed to improve capture efficiency with the lack of standardization and automation. This study systematically verified the positive threshold for prognosis and its guidance value in anti-HER2 therapy based on a novel automated microfluidic system OmiCell®.MethodsCTCs isolation, enumeration and labeling were performed using the OmiCell® system. CTCs identification and reporting were performed using the DeepSight® scanning system.ResultsThe capture efficiency and specificity of OmiCell® system was 91.9% and 90%, respectively. Then, 65 MBC patients with known HER2 status of their metastatic tumors were enrolled. In the cohort, we detected ≥ 1 CTCs in 59 patients (90.8%, range: 1–55 CTCs, median = 6), < 8 CTCs in 45 (69.2%) and ≥ 8 CTCs in 20 (30.8%) patients at baseline. The patients with < 8 CTCs had longer PFS than ≥ 8 CTCs (median, 7 vs. 4.4 months, p = 0.028). CTC enumeration was found to be an independent prognostic factor in our cohort. Moreover, we found a weak concordance between tissue HER2 (tHER2) status and the corresponding CTCs (k = 0.16, p = 0.266). The patients with tHER2 positive and cHER2 negative had better PFS compared with patients with both tHER2 and cHER2 positive (median, 8.2 vs. 3.3 months, p = 0.022).ConclusionsThis clinical study shows the prognosis value of a new threshold of CTC number and meanwhile the guidance value of cHER2 status in anti-HER2 therapy.

A comparative study of circulating tumor cell isolation and enumeration technologies in lung cancer.

Circulating tumor cells (CTCs) have potential as diagnostic, prognostic, and predictive biomarkers in solid tumors. Despite Food and Drug Administration (FDA) approval of CTC devices in various cancers, the rarity and heterogeneity of CTCs in lung cancer make them technically challenging to isolate and analyze, hindering their clinical integration. Establishing a consensus through comparative analysis of different CTC systems is warranted. This study aimed to evaluate seven different CTC enrichment methods across five technologies using a standardized spike-in protocol: the CellMag™ (EpCAM-dependent enrichment), EasySep™ and RosetteSep™ (blood cell depletion), and the Parsortix® PR1 and the new design Parsortix® Prototype (PP) (size- and deformability-based enrichment). The Parsortix® systems were also evaluated for any differences in recovery rates between cell harvest versus in-cassette staining. Healthy donor blood (5 mL) was spiked with 100 fluorescently labeled EpCAMhigh H1975 cells, processed through each system, and the isolation efficiency was calculated. The CellMag™ had the highest recovery rate (70 ± 14%), followed by Parsortix® PR1 in-cassette staining, while the EasySep™ had the lowest recovery (18 ± 8%). Additional spike-in experiments were performed with EpCAMmoderate A549 and EpCAMlow H1299 cells using the CellMag™ and Parsortix® PR1 in-cassette staining. The recovery rate of CellMag™ significantly reduced to 35 ± 14% with A549 cells and 1 ± 1% with H1299 cells. However, the Parsortix® PR1 in-cassette staining showed cell phenotype-independent and consistent recovery rates among all lung cancer cell lines: H1975 (49 ± 2%), A549 (47 ± 10%), and H1299 (52 ± 10%). Furthermore, we demonstrated that the Parsortix® PR1 in-cassette staining method is capable of isolating heterogeneous single CTCs and cell clusters from patient samples. The Parsortix® PR1 in-cassette staining, capable of isolating different phenotypes of CTCs as either single cells or cell clusters with consistent recovery rates, is considered optimal for CTC enrichment for lung cancer, albeit needing further optimization and validation.

Machine learning driven image segmentation and shape clustering of algal microscopic images obtained from various water types

Algae and cyanobacteria are microorganisms found in almost all fresh and marine waters, where they can pose environmental and public health risks when they grow excessively and produce blooms. Accurate identification and quantification of these microorganisms are vital for ecological research, water quality monitoring, and public health safety. However, traditional methods of manually counting and morphologically identifying these microorganisms are time-consuming and prone to human error. Application of the machine learning-driven Fast Segment Anything Model (FastSAM), an image segmentation model, automates and potentially enhances the accuracy and efficiency of cell identification and enumeration from microscopic images. We assessed FastSAM for algal cell image segmentation, and three clustering evaluation metrics. Segmentation of microscopic images of algal and cyanobacterial cells in water and treated wastewater samples using the FastSAM algorithm, which is a Vision Transformer (ViT) based algorithm that utilizes a compact ViT encoder, demonstrated benefits and challenges of this machine learning driven image processing. Notably, the pre-trained algorithm segmented entire elements in all microscopic images used in this study. Depending on the shape, 50–100 % similarity was observed between machine-based segmentation and manual validation of all segmented elements, with 100 % of single cells being correctly segmented by FastSAM. The performance of clustering metrics varied between 57–94 % with the Spectral Angle Mapper achieving the most accurate performance, 84–94 %, compared to the manually chosen clustering benchmarks. Cyanobacterial and algal communities are biologically diverse and have ecological significance. The application of image clustering techniques in studying their cell shapes marks an important advancement in microbial ecology and environmental monitoring. As technology progresses, these methods will become increasingly utilised to decipher the complex roles that algae and cyanobacteria play in our ecosystems supporting mitigation and public health protection measures.

Enumeration of mast cells in the human umbilical cord: implications for coiling patterns

The abnormal umbilical cord coiling pattern affects the well-being of the newborn in different ways. Moreover the differentiation of mast cell according to these patterns may also varies. The objective: to investigate the detection and enumeration of mast cells in different patterns in human coiling cords in order to explore their effect on the newborn baby health.Materials and methods. Umbilical cord samples were collected from 105 healthy pregnant women. The cords were collected immediately after labor and kept in formalin (10%), according to coil type. Three major categories of umbilical cord coiling (normocoiled, hypercoiled, and hypocoiled) were determined according to the Umbilical Cord Index (UCI).The histological sections of the umbilical cord were collected according to UCI. This step is followed by using different histological stains, including hematoxylin and eosin and toluidine blue stains. The expression of the CD117 mast cell population in the umbilical cord tissue was determined using the immunohistochemical method in the subamniotic, perivascular and central areas. The enumeration of mast cells was done by direct counting and using Image J software. Results. The comparison of mast cell counts using Image J showed statistically significant variations (P&lt;0.05) between normocoiled and hypercoiled cords in mast cell populations. No significant changes (P&gt;0.05) were found in mast cell counts between normocoiled and hypocoiled umbilical cords. Conclusions. The mast cell distribution interpretation suggested that mechanical coiling during embryonic growth affects mast cell dispersal in sectioned umbilical cords. This interpretation’s functional relevance should be applied to coiling events that do not have harmful outcomes on the fetus. Future research could be done on the distribution of mast cells in the abnormally coiled umbilical cords associated with negative perinatal outcomes.

CXCL12-loaded-hydrogel (CLG): A new device for metastatic circulating tumor cells (CTCs) capturing and characterization

BackgroundCirculating Tumor Cells (CTCs) represent a small, heterogeneous population that comprise the minority of cells able to develop metastasis. To trap and characterize CTCs with metastatic attitude, a CXCL12-loaded hyaluronic-gel (CLG) was developed. CXCR4+cells with invasive capability would infiltrate CLG. MethodsHuman colon, renal, lung and ovarian cancer cells (HT29, A498, H460 and OVCAR8 respectively) were seeded on 150 μl Empty Gels (EG) or 300 ng/ml CXCL12 loaded gel (CLG) and allowed to infiltrate for 16 h. Gels were then digested and fixed with 2 % FA-HAse for human cancer cell enumeration or digested with HAse and cancer cells recovered. CLG-recovered cells migrated toward CXCL12 and were tested for colonies/spheres formation. Moreover, CXCR4, E-Cadherin and Vimentin expression was assessed through flow cytometry and RT-PCR. The clinical trial “TRAP4MET” recruited 48 metastatic/advanced cancer patients (8 OC, 8 LC, 8 GBM, 8 EC, 8 RCC and 8 EC). 10 cc whole blood were devoted to PBMCs extraction (7 cc) and ScreenCell™ filters (3 cc) CTCs evaluation. Ficoll-isolated patient's PBMCs were seeded over CLG and allowed to infiltrate for 16 h; gels were digested and fixed with 2 % FA-HAse, cells stained and DAPI+/CD45-/pan-CK + cells enumerated as CTCs. ResultsHuman cancer cells infiltrate CLG more efficiently than EG (CLG/EG ratio 1.25 for HT29/1.58 for A498/1.71 for H460 and 2.83 for OVCAR8). CLG-recovered HT29 cells display hybrid-mesenchymal features [low E-cadherin (40 %) and high vimentin (235 %) as compared to HT29], CXCR4 two-fold higher than HT29, efficiently migrate toward CXCL12 (two-fold higher than HT29) and developed higher number of colonies (171 ± 21 for HT29-CLG vs 131 ± 8 colonies for HT29)/larger spheres (spheroid area: 26561 ± 6142 μm2 for HT29-CLG vs 20297 ± 7238 for HT29). In TRAP4MET clinical trial, CLG-CTCs were isolated in 8/8 patients with OC, 6/8 with LC, 6/8 with CRC, 8/8 with EC, 8/8 with RCC cancer and 5/8 with GBM. Interestingly, in OC, LC and GBM, CLG isolated higher number of CTCs as compared to the conventional ScreenCell™ (CLG/SC ratio = 1.88 for OC, 2.47 for LC and 11.89 for GBM). Bland and Altman blot analysis and Passing and Bablok regression analysis showed concordance between the methodological approaches but indicate that SC and CLG are not superimposable suggesting that the two systems select cells with different features. ConclusionCLG might represent a new and easy tool to isolate invasive CTCs in multiple cancers such as OC, LC and GBM at today orphan of reliable methods to consistently detect CTCs.

Optimization of the flow cytometry method of detection, quantification and qualification of microorganisms in carrot juice

Fresh, unpasteurized carrot juice is a popular element of the everyday diet of many consumers, and as such the matter of the juice's microbial safety remains an important one. Imaging flow cytometry (FCM) allows a fast enumeration and determination of cells, as well as their further differentiation. However, carrot juice is a difficult food product to analyze with the use of FCM due to interference from autofluorescence and the presence of plant debris. In this research, we aimed to obtain an effective and repeatable protocol for the preparation of carrot juice samples for FCM analysis. Through experimental and software-based means we successfully determined a reliable protocol for the preparation of fresh, unpasteurized carrot juice, which consisted of a sequence of filtering, centrifugation, enzyme treatment, and finally the implementation of the Machine Learning protocol for the best result.

Method comparison between hematopoietic progenitor cell and CD34+ cell counts in hematopoietic stem cell collection.

The reference method for hematopoietic stem cell enumeration is flow cytometric CD34+ cell analysis. We evaluated using the hematopoietic progenitor cell (HPC) count on the Sysmex hematology analyzer to safely replace some flow cytometric measurements performed in peripheral blood samples to guide apheresis timing. We compared HPC and CD34+ cell counts in 133 preharvest peripheral blood samples and 124 apheresis products. Pre-apheresis HPC counts ≥24 × 106/L in healthy donors and ≥36 × 106/L in lymphoma patients predicted adequate mobilization with 100% specificity and positive predictive value, saving 79% and 63% of flow cytometry analyses, respectively. Due to a positive bias (mean bias 50.26; 95% CI 36.24-64.29), a higher threshold was needed in multiple myeloma patients (HPC 132 × 106/L), saving only 24% of flow cytometry analyses. When the HPC count is above the corresponding threshold, apheresis could be safely initiated without waiting for the flow cytometry result, thereby reducing time-to-decision. Lower HPC values, however, require confirmation by flow cytometry.

Absolute CD4 count and percentage values among Libyan patients with HIV by single-platform flow cytometry.

Single-platform flow cytometry technology together with CD45-gating is becoming the method of choice for absolute CD4 T cell enumeration. Immunological assessment of HIV patients by monitoring CD4 can provide valuable information on antiviral treatment response and disease progression. A total of 97 HIV-positive individuals were recruited from 2 hospitals in Tripoli, Libya, and 14 healthy blood donors. The HIV-infected individuals were classified by CD4+ count into HIV-positive (>200 cells/µL) or AIDS (≤200 cells/µL) groups. CD4+ and CD8+ cell counts were determined and compared among the groups and with similar published data. The mean ± SD CD4+ cell counts were 1106 ± 442.8 cells/µL in healthy individuals, 460 ± 219.7 cells/µL in the HIV-positive group, and 78 ± 64.3 cells/µL in the AIDS group. The mean ± SD CD4+/CD8+ ratio was 1.6 ± 0.58, 0.4 ± 0.22, and 0.1 ± 0.1, respectively. CD4+ counts in Libyan healthy adults might be higher than those reported in several studies in other regions, whereas CD4+ counts in Libyan AIDS patients seem lower. Reference values for T lymphocyte counts in Libyan healthy individuals should be investigated more extensively, and the reasons why Libyan AIDS patients seem to have such lower CD4+ counts should be examined.

Comparison of polystyrene and hydrogel microcarriers for optical imaging of adherent cells.

The ability to observe and monitor cell density and morphology has been imperative for assessing the health of a cell culture and for producing high quality, high yield cell cultures for decades. Microcarrier-based cultures, used for large-scale cellular expansion processes, are not compatible with traditional visualization-based methods, such as widefield microscopy, due to their thickness and material composition. Here, we assess the optical imaging compatibilities of commercial polystyrene microcarriers versus custom-fabricated gelatin methacryloyl (gelMA) microcarriers for non-destructive and non-invasive visualization of the entire microcarrier surface, direct cell enumeration, and sub-cellular visualization of mesenchymal stem/stromal cells. Mie scattering and wavefront error simulations of the polystyrene and gelMA microcarriers were performed to assess the potential for elastic scattering-based imaging of adherent cells. A Zeiss Z.1 light-sheet microscope was adapted to perform light-sheet tomography using label-free elastic scattering contrast from planar side illumination to achieve optical sectioning and permit non-invasive and non-destructive, in toto, three-dimensional, high-resolution visualization of cells cultured on microcarriers. The polystyrene microcarrier prevents visualization of cells on the distal half of the microcarrier using either fluorescence or elastic scattering contrast, whereas the gelMA microcarrier allows for high fidelity visualization of cell morphology and quantification of cell density using light-sheet fluorescence microscopy and tomography. The combination of optical-quality gelMA microcarriers and label-free light-sheet tomography will facilitate enhanced control of bioreactor-microcarrier cell culture processes.

Specific cultivation-independent enumeration of viable cells in probiotic products using a combination of fluorescence in situ hybridization and flow cytometry.

This study introduces an optimized integration of flow cytometry and fluorescence in situ hybridization (Flow-FISH) as an approach for the specific enumeration of gram-positive bacteria in probiotic products, overcoming the limitations of conventional methods. The enhanced Flow-FISH technique synergizes the rapid and automated capabilities of flow cytometry with the high specificity of FISH, facilitating the differentiation of viable cells at the species level within probiotic blends. By analyzing lyophilized samples of Lacticaseibacillus rhamnosus, Lactiplantibacillus plantarum, and Bifidobacterium animalis subsp. lactis, and a commercial product, the study highlights the optimized Flow-FISH protocol's advantages, including reduced hybridization times to 1.5 h and elimination of centrifugation steps. Comparative evaluations with the widely accepted enumeration methods plate count and Live/Dead (L/D) staining were conducted. The study revealed that Flow-FISH produces higher viable cell counts than plate count, thereby challenging the traditional "gold standard" by highlighting its predisposition to underestimate actual viable cell numbers. Against L/D staining, Flow-FISH achieved comparable results, which, despite the different foundational premises of each technique, confirms the accuracy and reliability of our method. In conclusion, the optimized Flow-FISH protocol represents a significant leap forward in probiotic research and quality control. This method provides a rapid, robust, and highly specific alternative for the enumeration of probiotic bacteria, surpassing traditional methodologies. Its ability to enable a more detailed and reliable analysis of probiotic products paves the way for precise quality control and research insights, underscoring its potential to improve the field significantly.

Sealing solid agar in serum bottles for rapid isolation and long-term preservation of chemoautotrophic ammonia-oxidizing bacteria

Ammonia-oxidizing bacteria (AOB) are ubiquitous on the earth and have broad applications in bioremediation. However, the number of their species with standing in nomenclature and deposited in Microbial Culture Collections still remains low. Moreover, only a few novel species have been reported over the last decades. In this study, we sealed agar in serum bottles to develop a kind of solid agar plate with the oxygen concentration in the headspace maintained at low levels. By using these plates, eight AOB isolates including two novel species were obtained. When AOB cells were grown on the sealed solid agar plates, the time to form visible colonies was largely reduced and the maximum diameter of colonies reached 2 mm, which makes the process of AOB isolation rapid and efficient. Based on five AOB isolates, the headspace oxygen concentration had a significant influence on AOB growth either on solid plate or in liquid culture. Especially, when grown under 21 % O2, the number of colonies formed on solid agar plates was very low and sometimes no visible colony formed. Besides the application on AOB isolation, the sealed solid agar plate was also effective for the enumeration and preservation of AOB cells. When preserved under room temperature for more than ten months, the AOB colonies on the plate could still be recovered. This method provides a feasible way to isolate more novel AOB species from the environment and deposit more species in Microbial Culture Collections.