Built-in Filters Research Articles

Simultaneous bright-field and fluorescence lensless imaging with high excitation light extinction for microfluidics applications

Lensless imaging fluorescence applications are limited by the unavoidable trade-off between the object-sensor distance and the excitation light attenuation at the detection plane. Indeed, a shorter object-sensor distance reduces the spreading of fluorescent signals but at the cost of losing excitation light attenuation provided by filter thickness. Accordingly, the combination of four synergistic pathways to attain further attenuation of excitation light is proposed: the optimization of total internal reflection by microfluidic chip geometry modification, cross-polarization extinction, interchangeable absorption longpass filters, and the CMOS sensor built-in bandpass Bayer filters. The advantages of such a combined setup are demonstrated with a microfluidic application, as we managed to keep the object-sensor distance as short as 600 µm and still distinguish the fluorescence of individual droplets, flowing as close as 650 µm to each other, while attenuating excitation light to an OD 5.9 level. This approach also allowed simultaneous fluorescence and bright-field observation of on-chip droplet fluorescence during flow at a rate of 30 fps. The enhanced capabilities in our scheme pave the way to further lensless fluorescence applications requiring parallelism, lower detection thresholds, and real-time acquisition, such as fluorescence biosensing.

Tunable active noise control circuit topology for multiple-feature applications

A tunable active-noise-control (ANC) circuit topology for headsets used in different applications is presented in this article. In the current consumer headset market, ANC is a mature technology that is commonly applied to wireless headsets connected to smartphones for listening to music and making phone calls. The development of ANC headsets has resulted in low-cost and simple devices due to the built-in ANC registers in the digital circuit. Digital circuit implementation is important to provide ultra-low latency processing for different algorithms compared with using digital signal processors (DSPs). However, a limitation associated with these built-in ANC filters is that the ANC digital circuit has been designed only for the wireless headset consumer market. Consequently, ANC headsets can only be used for designated features. ANC tuned for planes by eliminating low-frequency engine noise has been commonly used in the past twenty years. Pass-through (PT) amplification is also commonly tuned to allow users to hear external sounds and have conversations without having to remove their headset. In addition, ANC and PT amplification are also not allowed to operate simultaneously on the existing chipsets. In this paper, an ANC circuit topology with ultra-low latency processing is presented, where the ANC response of the headset can be tuned without any restriction imposed by the built-in ANC filters. The proposed ANC circuit topology consists of a commercial ANC chipset with an external audio codec to provide tunable characteristics. It is achieved by fixed maximum noise cancellation of ANC chipset being modified by summing with the signal from audio-codec path via an audio mixer. Acoustic performance for several headset applications implemented using the proposed circuit is validated. This simple circuit topology can be easily developed and adapted to the current headset consumer market for consumer-selective ANC in different environments.

Influence and Outcome of the COVID-19 Pandemic on Digital Eye Strain in Children

Abstract: The term "digital eye strain" (DES) refers to a group of visual and ocular problems brought on by extended usage of digital electronic gadgets. Dry eyes, itchiness, a feeling of a foreign body, watering, blurred vision, and headaches are its hallmarks. Eye strain can also cause non-ocular symptoms such a stiff neck, generalised weariness, headaches, and backaches. In the years before COVID-19, a varying incidence of 5 to 65% has been recorded. Outdoor activities were limited for all age groups due to lockdown regulations during the pandemic, and digital learning took over for nearly two years. The prevalence of DES increased to 50–60% in children alone, but the symptoms also widened to encompass recently developed esotropia and vergence abnormalities. One of the most important eye health issues is myopia. Following proper ergonomics, such as reducing average daily screen time, frequent blinking, better lighting, minimising glare, taking regular breaks from the screen, occasionally shifting focus to a distant object, and adhering to the 20-20-20 rule can help manage DES. High-resolution screens, built-in antireflective coating, matte-finished glass, edge-to-edge displays, and image-smoothing visual effects are examples of innovations in this area. The recommendations for optimising digital screens, cutting-edge technology for spectacle lenses, and built-in filters to enhance visual comfort should be the focus of further research. Our understanding of how to approach DES from an etiological standpoint needs to change in order to investigate tailored remedies. The purpose of this review article is to understand the pathophysiology of various manifestations, risk factors that predispose to them, different types of treatment choices, as well as evolving trends in DES prevalence following COVID-19

Efficient Sigma-Delta Sensor Array Beamforming.

Nowadays, sensors with built-in sigma-delta modulators (ΣΔMs) are widely used in consumer, industrial, automotive, and medical applications, as they have become a cost-effective and convenient way to deliver data to digital processors. This is the case for micro-electro-mechanical system (MEMS), digital microphones that convert analog audio to a pulse-density modulated (PDM) bitstream. However, as the ΣΔMs output a PDM signal, sensors require either built-in or external high-order decimation filters to demodulate the PDM signal to a baseband multi-bit pulse-code modulated (PCM) signal. Because of this extra circuit requirement, the implementation of sensor array algorithms, such as beamforming in embedded systems (where the processing resources are critical) or in very large-scale integration (VLSI) circuits (where the power and area are crucial) becomes especially expensive as a large number of parallel decimation filters are required. This article proposes a novel architecture for beamforming algorithm implementation that fuses delay and decimation operations based on maximally flat (MAXFLAT) filters to make array processing more affordable. As proof of concept, we present an implementation example of a delay-and-sum (DAS) beamformer at given spatial and frequency requirements using this novel approach. Under these specifications, the proposed architecture requires 52% lower storage resources and 19% lower computational resources than the most efficient state-of-the-art architecture.

Measuring Perceptual Color Differences of Smartphone Photographs

Measuring perceptual color differences (CDs) is of great importance in modern smartphone photography. Despite the long history, most CD measures have been constrained by psychophysical data of homogeneous color patches or a limited number of simplistic natural photographic images. It is thus questionable whether existing CD measures generalize in the age of smartphone photography characterized by greater content complexities and learning-based image signal processors. In this paper, we put together so far the largest image dataset for perceptual CD assessment, in which the photographic images are 1) captured by six flagship smartphones, 2) altered by Photoshop®, 3) post-processed by built-in filters of the smartphones, and 4) reproduced with incorrect color profiles. We then conduct a large-scale psychophysical experiment to gather perceptual CDs of 30,000 image pairs in a carefully controlled laboratory environment. Based on the newly established dataset, we make one of the first attempts to construct an end-to-end learnable CD formula based on a lightweight neural network, as a generalization of several previous metrics. Extensive experiments demonstrate that the optimized formula outperforms 33 existing CD measures by a large margin, offers reasonable local CD maps without the use of dense supervision, generalizes well to homogeneous color patch data, and empirically behaves as a proper metric in the mathematical sense. Our dataset and code are publicly available at https://github.com/hellooks/CDNet.

Deep learning-based adaptive mode decomposition and instantaneous frequency estimation for vibration signal

Under time-varying environments and loads, vibration monitoring data of structures exhibit nonstationarity with multiple frequency components, and may have obvious nonlinearity under some extreme loads. The time–frequency analysis method is ideal for analyzing these nonlinear and nonstationary signals. However, the vibration signals of large-scale structures typically contain a variety of frequency components, making it challenging for effective mode decomposition without the interference of false mono-components by existing adaptive mode decomposition methods. False mono-components will severely decrease the accuracy of instantaneous frequency. To address the mode mixing and false mono-components in mode decomposition, a data-driven approach based on deep learning for signal adaptive mode decomposition and instantaneous frequency estimation is proposed in this paper. By transforming the time–frequency analysis problem into an optimization task of a deep neural network, built-in redundant adaptive filters with sparse regularization are designed, then the accurate intrinsic mode functions and time-varying frequencies can be estimated. The proposed method is verified by the numerical nonstationary signal and vibration signal of an experimental long cable model. The results demonstrate the superior capability of the proposed method in decomposing a signal into mono-components adaptively without false mono-components and achieving high accuracy of corresponding instantaneous frequencies. From the examples, an accuracy of 98.52% is achieved for a noise-free signal with spectral overlap. The proposed method is more robust to noise, and the instantaneous frequency identification error is 4.90%, which is much lower than EEMD and VMD under a signal-to-noise ratio of 5 dB.

Clinical Issues - June 2023.

Personal protective equipment in the decontamination area Key words: decontamination, personal protective equipment (PPE), barrier level, droplets, sterile processing. Administering opioids to patients with obstructive sleep apnea Key words: opioids, obstructive sleep apnea (OSA), moderate sedation and analgesia, respiratory depression, positive-pressure ventilation. Surgical smoke evacuation during Mohs surgery Key words: Mohs, surgical smoke, evacuation, filtration, wall suction. Using built-in trocar filters for surgical smoke safety Key words: ultra-low particulate air filtration, activated carbon filtration, built-in trocar filter, volatile organic compound (VOC), minimally invasive surgery (MIS).

(Micro)Biological Sediment Formation in a Non-Chlorinated Drinking Water Distribution System

Sediment formation in drinking water distribution systems can lead to brown water at customer taps. Previous studies have shown that sediment formation is closely linked with (micro)biological processes in the distribution system, however the mechanism is not fully understood. Most available studies on discoloration or sediment formation mechanism are based on modeling, pilot-scale experiments, or low frequency data collected during pipe flushing. In this study, long-term sediment development in a large-scale drinking water distribution system was studied at one location over 11 years and at several locations along a known water trajectory during one year. Particulate material was collected at several locations using built-in and mobile filters that were connected to transport and distribution pipes in a semi-continuous manner. The volume of the collected material varied seasonally and the highest volumes were collected in the summer season. The material followed similar variations as temperature, invertebrates biomass and concentration of Aeromonas. The results showed that particulate matter of the sediment at downstream distribution locations was not released by the treatment works but instead forms along the distribution network, with increasing particle/floc size, biomass and Fe and Mn content. The large crustacean, Asellus, contributed to material production through feces excretion and formation of detritus by degradation of exoskeletons of dead animals. Detailed chemical characterization of the collected material showed the presence of proteins, calcium carbonate and iron precipitates. A similar sediment composition in a reference distribution system where customer complaints about brown water are experienced less frequently suggests that the sediment formation mechanism is the same but that water quality of the treatment effluent impacts the extent of material formation and growth of invertebrates. Overall, the results indicate that sediment formation in the distribution system is the result of complex combinations of (micro)biological and bio-chemical processes, including aggregation of particles with organic and inorganic matter, microbial growth on particles and biofilm, biomineralization, and growth of invertebrates. The determining factors to limit sediment formation, however, could not be identified. Further research is required to focus on the impact of treatment on shaping the distribution system ecosystem.

Elements of the methodology of teaching the theme "Raster computer graphics" with the help of the GIMP free graphic editor at the level of basic general education

The article describes the framework of the methodology for teaching basic school students the technology of both processing digital photography and creating raster graphic images from scratch. As a software tool, it is proposed to use the free GIMP raster editor. Raster computer graphics is more complex in relation to vector graphics, since a large number of tools are used in raster graphics, and brush graphic tools (Brush, Pencil, Airbrush) are also actively used, the effective use of which requires user of basic artistic skills. The choice of the free graphic editor GIMP is due to a number of significant advantages of this software tool over analogues. These include the GNU GPL license for its use, cross-platform, relatively low system requirements, functionality close to professional raster editors, as well as a significant stack of educational and methodological literature on the technology of using GIMP in the educational process, that is generally not typical for free software. The complex user interface of the GIMP editor is due to the large number of tools and the full functionality of this software and can be mastered by basic school students, provided that an effective methodology for teaching raster graphics is used in the educational process. When creating a framework for teaching schoolchildren about raster graphics, the technology for using all groups of GIMP editor tools is demonstrated in the process of conducting practical work aimed at creating various raster graphics, the complexity of which gradually increases in proportion to the number of tools mastered by students. Also, the proposed teaching methodology takes into account all the main structural elements of professional raster graphics, namely: the technology for the effective use of the group of operations for selecting image fragments, the technology for the effective use of the group for the transformation operation, the technology for the effective use of the group of drawing tools, image layers, color channels, contours, built-in filters, creation of text elements, creation of GIF-animation.

Digital imaging filters and their effect on detecting apical root resorption

<h3>Objective</h3> To assess differences in the detection of apical root resorption using different imaging software filters in digital radiographs. <h3>Study Design</h3> In total, 29 teeth were evaluated for this study using CMOS digital x-ray images. The radiographs consisted of teeth with and without root resorption, verified through cone beam CT imaging. A common dental imaging software was used to create four different images using the following built-in filters: invert, edge enhance, dentin-to-enamel junction (D to E), and endo (E), plus the original unfiltered image. Three dental students individually scored the 145 images for the presence or absence of root resorption with a 5-point grading scale: 1) absent, 2) probably absent, 3) uncertain, 4) probably present, and 5) present. Intra- and interobserver agreement was calculated by using the weighted kappa test. Receiver operating characteristic (ROC) analysis was performed, and diagnostic accuracy was represented by the area under the curve (AUC) with 95% confidence intervals (CI). Diagnosis values were compared by a two-way ANOVA, with post-hoc Tukey test. The level of significance was established at P<0.05. The Institutional Review Board approved this project (IRB #5180360). <h3>Results</h3> The greatest accuracy was achieved with the ‘Endo' filter (AUC=.950; 95%CI: .869 - .1.0). The ‘D to E' filter yielded the least accurate ROC value (AUC =.758; 95%CI: .551 - .965)<b>.</b> <h3>Conclusions</h3> Imaging filters can affect diagnosis of root resorption depending on which type of filter is applied. With this in mind, judicious usage is suggested to achieve optimum outcomes and advanced imaging may be warranted in certain circumstances. <b>Statement of Ethical Review</b> Human/Animal subjects were used and this study was approved by an institutional ethics panel

Huddersfield Contemporary Music Festival, 18–22 November 2021.

Contemporary music festivals are a neatly packaged way of encountering a variety of new and recent pieces, where someone else has done the hard work and chosen them for you. In our online/streaming life, rather than surfing Bandcamp or similar and following our own predilections, these festivals, in a healthy way, force you to confront your musical barriers and to harmonise your prejudices. In the UK and Ireland, Ilan Volkov's Glasgow Tectonics, Eamon Quinn's Louth and Graham McKenzie's Huddersfield seem to me the most interesting at the moment. There are, of course, other useful and enterprising festivals: some are a mixed bag of old and new, some are composer-led or have other agendas, so they have built-in filtering – in other words, prejudices. Festival directors have their likes and dislikes too, I guess, but the evidence from the three mentioned above demonstrates an openness and a researched risk-taking: Huddersfield, with McKenzie in charge, is more open than most, presenting quite a range of different genres and media.

Design, simulation and fabrication of a new terahertz cross-shaped metamaterial bandpass filter to obtain a narrow frequency bandwidth

In this study, a new terahertz cross-shaped metamaterial bandpass filter is designed, simulated and fabricated. Among the properties of the proposed filter, compared to built-in filters (especially cross-shaped filters), one may refer to higher output transfer intensity (of almost 100%) and less noise effects (unwanted frequencies) in the whole range of 0.1 to 3 THz. The simulation is conducted by the CST STUDIO software and the FDTD method. Experimental results with THz-TDS system and simulation results with CST STUDIO software that are well matched.

Analysis of Microplastics Released from Plain Woven Classified by Yarn Types during Washing and Drying.

Microplastics reach the aquatic environment through wastewater. Larger debris is removed in sewage treatment plants, but filters are not explicitly designed to retain sewage sludge’s microplastic or terrestrial soils. Therefore, the effective quantification of filtration system to mitigate microplastics is needed. To mitigate microplastics, various devices have been designed, and the removal efficiency of devices was compared. However, this study focused on identifying different fabrics that shed fewer microplastics. Therefore, in this study, fabric-specific analyses of microplastics of three different fabrics during washing and drying processes were studied. Also, the change in the generation of microplastics for each washing process of standard washing was investigated. The amount of microplastics released according to the washing process was analyzed, and the collected microplastics’ weight, length, and diameter were measured and recorded. According to the different types of yarn, the amount of microplastic fibers produced during washing and drying varied. As the washing processes proceed, the amount of microplastics gradually decreased. The minimum length (>40 µm) of micro-plastics generated were in plain-woven fabric. These results will be helpful to mitigate microplastics in the production of textiles and in selecting built-in filters, and focusing on the strict control of other parameters will be useful for the development of textile-based filters, such as washing bags.

Elemental and microbiota content in indoor and outdoor air using recuperation unit filters

This paper presents the results of a twelve-month measurement campaign conducted at a rural single-family house in Poland. The external and internal filters of a recuperator used to mechanically ventilate the building were used to separate the total suspended particles (TSPs), and the concentrations of fifteen elements and abundance of fungi and bacteria were determined. Lower annual mean concentrations were observed indoors, and the concentrations of most elements did not significantly change between seasons. There were some differences between winter and summer, which may have resulted from changes in the ventilation regimes in the house. The number of bacteria was similar outdoors and indoors, while the amounts of fungi were higher indoors (p < 0.05).The order of metal concentrations outdoors agreed well with observations in other countries, while indoors the metal concentrations order indicated the individual characteristics of the building. The species diversity of fungi was higher than that of bacteria, and different species were found indoors and outdoors, while bacteria were typically present both indoors and outdoors.Different TSP sources were identified indoors and outdoors, suggesting limited penetration between the two environments. However, both environments were affected by traffic.Mechanical ventilation systems with built-in filters (such as recuperators) were useful in assessing the air quality within the building, and the changeable recuperation filters offer an approach to assess the air quality in several houses without any additional cost or discomfort to the residents.

The Water–Energy–Food Nexus Discovery Map: Linking Geographic Information Systems, Academic Collaboration, and Large-Scale Data Visualization

The Water–Energy–Food (WEF) Nexus framework for holistic sustainable development has spawned independent and academic communities around the globe that utilize the framework in research, implementation, policy development, and technological advancement. These communities, however, are geographically and topically segmented and lack large-scale databasing that clearly catalogs and classifies their work. Recognizing this need, the WEF Nexus Strategic Initiative program at The Pennsylvania State University has developed the WEF Nexus Discovery Map utilizing the Arc Geographic Information Systems’ (GIS) Online Dashboard creation toolkit. In real time, users are able to select from 5040 different combinations of filters with the ease of a few button pushes and see projects pop up or disappear from the map located on the dashboard. Projects can then be clicked on to view their specific information, such as the institution that produced the work, local collaborators, relevant web page, and point of contact. The WEF Nexus Discovery Map demonstrates the early new-age of data resource management with the intersection of visuals, advanced search with built-in filters, and community-driven data collection to provide users with exact needs and connections to better facilitate and deploy the holistic sustainability framework of the WEF Nexus.

Laser wavelength metrology with low-finesse etalons and Bayer filters

We present a wavelength meter with picometer-scale resolution based on etaloning effects of inexpensive glass slides and the built-in color filters of a consumer grade CMOS camera. After calibrating the device to a commercial meter, we tested the device's calibration stability using two tunable visible lasers for a period of over 16 days. The wavelength error over that entire period has a standard deviation of 5.29 parts per million (ppm) about a most probable error of 0.90 ppm. Within 24 hours of calibration, this improves to 0.04 ppm with a standard deviation of 3.94 ppm.

COVID-19: Ultraviolet-C device for protecting operation theatre personnel: a pilot controlled study

Background: Covid-19 is currently wide-spread in urban and rural India. Health care workers (HCW) contract disease when exposed to inoculum in enclosed spaces namely operation theatre (OR) or Intensive care unit (ICU). 1.8-5 % of health care workers (HCW) tested positive in Delhi and Dutch experience is similar. 8% of HCW who contract COVID-19 die. Commercial filters have been advocated by various surgical societies and despite routine use of these filters, HCWs continue to get infected. Ultraviolet C (UVC) irradiation has been in use for bacterial and viral decontamination of surfaces, liquid and gaseous media.Methods: In this study, we describe a closed UVC chamber with built-in HEPA filters to decontaminate and sterilize effluent gases from patients undergoing laparoscopic or open surgical procedures to make it free of SARS-COV-2 virus and minimize risk of infection for the OR crew. We also report an adaptation of this device for anesthesia. We compare SARS-CoV-2 infections in HCW in our hospital, where this device is routinely used, with outcomes from another hospital with identical personal protection measures, performing similar surgical procedures but without the device.Results: COVID-19 incidence is significantly reduced with the use of this device compared to a similar hospital with similar surgical protocols but without the deviceConclusions: In the current pandemic situation where a number of HCWs get infected or succumb to SARS CoV2 infection, measures such as UVC chamber described in this paper provide additional protection to HCWs in the OR. They are of considerable public health importance and serve to boost the sagging morale of HCWs.

Design of an Isolated Bidirectional DC–DC Converter With Built-in Filters for High Power Density

This article aims to realize an isolated dc-dc converter with high power density, high power efficiency, and low noise performance. Although a dual-active-half-bridge (DAHB) converter can achieve high efficiency, it requires input and output low-pass filters to suppress the operational ripple current and switching noise. Owing to the volume of the filters, a DAHB converter cannot be implemented with high power density. This article presents a design theory for a novel isolated bidirectional dc-dc converter with built-in filters. The proposed converter is derived from a DAHB converter and can eliminate the input and output filters via split windings and tank capacitors; the principle of elimination is based on LC low-pass filter function and zero-ripple-current operation. As the number of transistors, capacitors, and magnetic cores of the proposed converter are equal to those of the DAHB converter, the application of the proposed converter allows volume reduction by eliminating the filter components at the input and output ports. Theoretical equations are derived to design a power flow control function and a filter function simultaneously. Finally, prototypes of a DAHB converter and the proposed converter are constructed for comparison. The results demonstrate that the input port noise of the proposed prototype is lower than that of the DAHB prototype by 10 dB (peak) over 1 MHz, and the proposed approach can achieve a significant improvement in efficiency.

A novel deep learning method for predictive modeling of microbiome data.

With the development and decreasing cost of next-generation sequencing technologies, the study of the human microbiome has become a rapid expanding research field, which provides an unprecedented opportunity in various clinical applications such as drug response predictions and disease diagnosis. It is thus essential and desirable to build a prediction model for clinical outcomes based on microbiome data that usually consist of taxon abundance and a phylogenetic tree. Importantly, all microbial species are not uniformly distributed in the phylogenetic tree but tend to be clustered at different phylogenetic depths. Therefore, the phylogenetic tree represents a unique correlation structure of microbiome, which can be an important prior to improve the prediction performance. However, prediction methods that consider the phylogenetic tree in an efficient and rigorous way are under-developed. Here, we develop a novel deep learning prediction method MDeep (microbiome-based deep learning method) to predict both continuous and binary outcomes. Conceptually, MDeep designs convolutional layers to mimic taxonomic ranks with multiple convolutional filters on each convolutional layer to capture the phylogenetic correlation among microbial species in a local receptive field and maintain the correlation structure across different convolutional layers via feature mapping. Taken together, the convolutional layers with its built-in convolutional filters capture microbial signals at different taxonomic levels while encouraging local smoothing and preserving local connectivity induced by the phylogenetic tree. We use both simulation studies and real data applications to demonstrate that MDeep outperforms competing methods in both regression and binary classifications. Availability and Implementation: MDeep software is available at https://github.com/lichen-lab/MDeep Contact:chen61@iu.edu.

Gene Fusion Detection By RNA-Seq in Acute Myeloid Leukemia (AML)

Accurate and complete genetic classification of AML is crucial for the prediction of clinical outcome and treatment stratification. Deciphering the spectrum of genetic abnormalities by polymerase chain reaction (PCR), karyotyping and fluorescence in situ hybridization (FISH) in routine diagnostics is the current gold standard, however, fusion genes might potentially be missed by these assays. Recently, several methods have been developed to improve the detection of gene fusion transcripts based on RNA sequencing data, providing robust results. To test the detection power and assess the applicability of RNA-Seq based methods in clinical diagnostics we applied two different algorithms, namely FusionCatcher (Nicorici D et al., bioRxiv, 2014) and Arriba (Uhrig S et al., DKFZ, https://github.com/suhrig/arriba), to the transcriptomes of 895 well-characterized AML samples from three independently sequenced cohorts: AMLCG (Herold T et al., Haematologica, 2018, n=261), DKTK (Greif PA et al., Clin Cancer Res, 2018 and unpublished data, n=166), BeatAML (Tyner JW et al., Nature 2018, n=468) and publicly available healthy control samples (SRA studies: SRP018028, SRP047126, SRP050146, SRP105369, SRP115911, SRP133442, n=38). According to karyotyping, 31% (277/895) of samples harbored chromosomal aberrations putatively causing gene fusions (i.e. translocations, interstitial deletions, duplications, inversions, insertions). Analyses by FISH and/or PCR confirmed these rearrangements in 51.3% (142/277) of samples, whereas fusion detection by the means of RNA-Seq showed evidence for fusion genes corresponding to these rearrangements in 60.3% (167/277) of samples. Chromosomal aberrations, identified by karyotyping, which are known to result in clinically relevant fusions (e.g. RUNX1-RUNX1T1, KMT2A fusions) were confirmed by FISH/PCR (AMLCG: n=27/27, DKTK: n=21/21, BeatAML: n=54/57) and RNA-Seq based methods (AMLCG: n=17/27, DKTK: n=21/21, BeatAML: n=56/57) in most of the cases. Of note, the AMLCG cohort was sequenced using the SENSE mRNA Library Prep Kit from Lexogen which seems to be not optimal for fusion detection. Furthermore, 19 samples (AMLCG: n=12, DKTK: n=4, BeatAML: n=3) were found to harbor known pathogenic fusions, described in previous studies, which were not reported by routine diagnostics: NUP98-NSD1 (n=11); CBFB-MYH11, RUNX1-RUNX1T1 and DEK-NUP214 (n=2 each); RUNX1-CBFA2T2 and RUNX1-CBFA2T3 (n=1 each). Reanalysis of six of these samples by PCR confirmed three fusions which were initially missed by routine diagnostics. In general, the amount of reported fusion events by RNA-Seq is high (on average 69 and 39 per sample as detected by FusionCatcher and Arriba respectively), even after applying the built-in filters, indicating a high false positive rate. To robustly identify putative novel fusions, we developed a filtering pipeline and incorporated two new filtering steps. The promiscuity score (PS) of a fusion measures the amount of further distinct fusion partners which were detected in the respective cohort for the 5' and 3' gene. The fusion transcript score (FTS) measures the relative abundance of a fusion transcript to its 5' and 3' partner gene. PS and FTS of known, clinically relevant fusions confirmed by FISH/PCR were used to define cut-offs. To further maximize specificity while maintaining sensitivity, we excluded fusion events which we detected in publicly available healthy samples and subsequently filtered for overlapping calls from FusionCatcher and Arriba (Fig. 1A). Additionally, we obtained further evidence for a fusion event by an elevated transcription of the 3' fusion partner. In case of a fusion event, the transcription of the 3' partner gene likely gets under the control of the promoter of the 5' partner gene. This results in an elevated transcription of genes which are otherwise transcribed at low levels (Fig. 1B-C). Thus, we identified five putatively novel recurrent fusion genes which were detected in two cohorts independently: NRIP1-MIR99AHG, LATS2-ZMYM2, ATP11A-ING1, MBP-SLC66A2, PRDM16-SKI (Fig. 1D-F). Although these events were called with high evidence, we aim at independent validation by complementary methods. In our study, we have not only demonstrated that the application of RNA-Seq to the detection of fusion genes is a valuable complement to diagnostic routine but also has the potential to discover novel putatively pathogenic fusions. Disclosures No relevant conflicts of interest to declare.