Oxygen, a quintssential element for human life emerged as an inescapable and scarce entity amongst other medical supplies during the second wave of COVID-19. Continuous support to all state governments, private, and public sectors was required. CSIR-Central Electronics Engineering Research Institute (CSIR-CEERI), Pilani, Rajasthan, took the initiative to generate medical grade oxygen for hospitals. CEERI Facility Group under the supervision of Mr Ashok Chauhan, Principal … Continue reading Repurposes Nitrogen Plant Facility for Oxygen Generation

The large amount of biomedical data derived from wearable sensors, electronic health records, and molecular profiling (e.g., genomics data) is rapidly transforming our healthcare systems. The increasing scale and scope of biomedical data not only is generating enormous opportunities for improving health outcomes but also raises new challenges ranging from data acquisition and storage to data analysis and utilization. To meet these challenges, we developed … Continue reading A scalable, secure, and interoperable platform

On its 80th birthday, the Council of Scientific and Industrial Research casts its gaze towards the sky as its plans to make pseudo-satellites or very high altitude UAVs that can do a variety of things at a fraction of cost than conventional satellite. Bengaluru-based National Aerospace Laboratories, one of the 37 constituent laboratories of CSIR, will manufacture the prototypes of such a high altitude UAV … Continue reading CSIR turns 80: plans pseudo-satellites while promising timely pay to the researchers

Fig: The geometrical profile of fiber optic spherical tip sensor (548–544 µm) used to detect CD44 protein in this work. (a,b) Two-sided profilometry of the fiber optic tips obtained from Fujikura splicer as measured by its inner microscope; where diameter on the horizontal and vertical axes (x, y) for each position along the fiber axis (z) is shown; (a) actual sensor (fabricated and used in experiments) and (b) actual sensor vs. target … Continue reading Label-free fiber-optic spherical tip biosensor

Extreme climatic events like those affecting Texas and the Pacific Northwest have provided an early warning for events to come and have shown that money and lives are at risk when people cannot receive electricity from energy-decision makers whom they rely on to ensure its delivery. As Jaramillo and her team show, energy planning that doesn’t account for the effects of climate change will result … Continue reading New tool to help electrical grid planners design

Globally, meat inspection provides data for animal health surveillance. However, paper-based recording of data is often not reported through to higher authorities in sufficient detail. We trialled the use of an electronic meat inspection form in Kenyan slaughterhouses, in lieu of the currently used paper-based format. Meat inspectors in two ruminant slaughterhouses completed and submitted an electronic report for each animal slaughtered at their facility. … Continue reading Electronic data collection to enhance disease surveillance

The cell nucleus is a tightly regulated organelle and its architectural structure is dynamically orchestrated to maintain normal cell function. Indeed, fluctuations in nuclear size and shape are known to occur during the cell cycle and alterations in nuclear morphology are also hallmarks of many diseases including cancer. Regrettably, automated reliable tools for cell cycle staging at single cell level using in situ images are … Continue reading A machine learning approach for single cell

Fig: Overview of the GenNet framework Applying deep learning in population genomics is challenging because of computational issues and lack of interpretable models. Here, we propose GenNet, a novel open-source deep learning framework for predicting phenotypes from genetic variants. In this framework, interpretable and memory-efficient neural network architectures are constructed by embedding biologically knowledge from public databases, resulting in neural networks that contain only biologically … Continue reading GenNet framework: interpretable deep learning for predicting phenotypes from genetic data

A newly developed, low-cost sensor can detect and accurately measure the amount of the widely used and controversial herbicide, glyphosate, in droplets of liquid in a laboratory test. Ultimately, that is the goal for this sensor: to test human samples for monitoring glyphosate exposure, but in the study published in Biosensors and Bioelectronics, researchers first showed the sensor’s potential for testing beverages. Before this new development,methods of … Continue reading New 3D-printed sensor can detect glyphosate in beverages

The objective of this study was to develop an accessible and accurate analysis method for microplastics that have been unintentionally added to cream cosmetic products. An experiment was performed on three cleansing creams in rich and viscous formulations. A spiked sample was prepared by adding polyethylene (PE) microspheres to the cleansing creams. After removing cosmetic ingredients from the creams using chemical digestion, damage to the … Continue reading A novel method for extraction, quantification, and identification of microplastics