Search Results - "Panic, Marko"

The centrosomal linker and microtubules provide dual levels of spatial coordination of centrosomes by Panic, Marko, Hata, Shoji, Neuner, Annett, Schiebel, Elmar

“…The centrosome is the principal microtubule organizing center in most animal cells. It consists of a pair of centrioles surrounded by pericentriolar material…”
Get full text

The balance between KIFC3 and EG5 tetrameric kinesins controls the onset of mitotic spindle assembly by Hata, Shoji, Pastor Peidro, Ana, Panic, Marko, Liu, Peng, Atorino, Enrico, Funaya, Charlotta, Jäkle, Ursula, Pereira, Gislene, Schiebel, Elmar

“…One of the first steps in mitotic spindle assembly is the dissolution of the centrosome linker followed by centrosome separation driven by EG5, a tetrameric…”
Get full text

STED nanoscopy of the centrosome linker reveals a CEP68-organized, periodic rootletin network anchored to a C-Nap1 ring at centrioles by Vlijm, Rifka, Li, Xue, Panic, Marko, Rüthnick, Diana, Hata, Shoji, Herrmannsdörfer, Frank, Kuner, Thomas, Heilemann, Mike, Engelhardt, Johann, Hell, Stefan W., Schiebel, Elmar

“…The centrosome linker proteins C-Nap1, rootletin, and CEP68 connect the two centrosomes of a cell during interphase into one microtubule-organizing center…”
Get full text

Multiparameter Water Quality Monitoring System for Continuous Monitoring of Fresh Waters by Krkljes, Damir B., Kitic, Goran V., Petes, Csaba M., Birgermajer, Slobodan S., Stanojev, Jovana D., Bajac, Branimir M., Panic, Marko N., Radonic, Vasa M., Brceski, Ilija D., Stravs, Rok M., Jankovic, Nikolina N., Matovic, Jovan B.

“…Due to the global water crisis there is a strong need for real-time water quality monitoring with high temporal and spatial resolution. This paper presents an…”
Get full text

Mammalian Cell-Growth Monitoring Based on an Impedimetric Sensor and Image Processing within a Microfluidic Platform by Podunavac, Ivana, Knežić, Teodora, Djisalov, Mila, Omerovic, Nejra, Radovic, Marko, Janjušević, Ljiljana, Stefanovic, Dimitrije, Panic, Marko, Gadjanski, Ivana, Radonic, Vasa

“…In recent years, advancements in microfluidic and sensor technologies have led to the development of new methods for monitoring cell growth both in macro- and…”
Get full text

Why should we care about high temporal resolution monitoring of bioaerosols in ambient air? by Smith, Matt, Matavulj, Predrag, Mimić, Gordan, Panić, Marko, Grewling, Łukasz, Šikoparija, Branko

“…This is the first time that atmospheric concentrations of individual pollen types have been recorded by an automatic sampler with 1-hour and sub-hourly…”
Get full text

Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy by Brdar, Sanja, Panić, Marko, Matavulj, Predrag, Stanković, Mira, Bartolić, Dragana, Šikoparija, Branko

“…Pollen monitoring have become data-intensive in recent years as real-time detectors are deployed to classify airborne pollen grains. Machine learning models…”
Get full text

Single-molecule RNA sizing enables quantitative analysis of alternative transcription termination by Patiño-Guillén, Gerardo, Pešović, Jovan, Panić, Marko, Savić-Pavićević, Dušanka, Bošković, Filip, Keyser, Ulrich Felix

“…Transcription, a critical process in molecular biology, has found many applications in RNA synthesis, including mRNA vaccines and RNA therapeutics. However,…”
Get full text

Predicting sensitivity of recently harvested tomatoes and tomato sepals to future fungal infections by Brdar, Sanja, Panić, Marko, Hogeveen-van Echtelt, Esther, Mensink, Manon, Grbović, Željana, Woltering, Ernst, Chauhan, Aneesh

“…Tomato is an important commercial product which is perishable by nature and highly susceptible to fungal incidence once it is harvested. Not all tomatoes are…”
Get full text

Agrobot Lala-An Autonomous Robotic System for Real-Time, In-Field Soil Sampling, and Analysis of Nitrates by Kitić, Goran, Krklješ, Damir, Panić, Marko, Petes, Csaba, Birgermajer, Slobodan, Crnojević, Vladimir

“…This paper presents an autonomous robotic system, an unmanned ground vehicle (UGV), for in-field soil sampling and analysis of nitrates. Compared to standard…”
Get full text

Remote Sensing of Poplar Phenophase and Leaf Miner Attack in Urban Forests by Simović, Isidora, Šikoparija, Branko, Panić, Marko, Radulović, Mirjana, Lugonja, Predrag

“…Remote sensing of phenology is adopted as the practice in greenery monitoring. Now research is turned towards the fusion of data from various sensors to fill…”
Get full text

Advanced CNN Architectures for Pollen Classification: Design and Comprehensive Evaluation by Matavulj, Predrag, Panić, Marko, Šikoparija, Branko, Tešendić, Danijela, Radovanović, Miloš, Brdar, Sanja

“…Allergenic pollen affects the quality of life for over 30% of the European population. Since the treatment efficacy is highly related to the actual exposure to…”
Get full text

Mid-Infrared Variable Selection for Soil Organic Matter Fractions Based on Soil Model Systems and Permutation Importance Algorithm by Jović, Branislav, Panić, Marko, Pavlović, Aleksandra, Kordić, Branko, Ćirić, Vladimir

“…In this research, an attempt was made to classify soil samples according to the different fractions of soil organic matter (SOM) using model systems in which…”
Get full text

RealForAll: real-time system for automatic detection of airborne pollen by Tešendić, Danijela, Boberić Krstićev, Danijela, Matavulj, Predrag, Brdar, Sanja, Panić, Marko, Minić, Vladan, Šikoparija, Branko

“…The aim of this paper is to describe a solution suitable for the automation of standard pollen information service (EN 16868:2019). We are describing the…”
Get full text

A new low-cost portable multispectral optical device for precise plant status assessment by Kitić, Goran, Tagarakis, Aristotelis, Cselyuszka, Norbert, Panić, Marko, Birgermajer, Slobodan, Sakulski, Dušan, Matović, Jovan

“…•Plant-O-Meter is suitable for low-cost, easy-to-perform, plant status measurements.•The device is supported by android app for generation of real-time maps of…”
Get full text

Sparse Recovery in Magnetic Resonance Imaging With a Markov Random Field Prior by Panic, Marko, Aelterman, Jan, Crnojevic, Vladimir, Pizurica, Aleksandra

“…Recent research in compressed sensing of magnetic resonance imaging (CS-MRI) emphasizes the importance of modeling structured sparsity, either in the…”
Get full text

Portfolio optimization for seed selection in diverse weather scenarios by Marko, Oskar, Brdar, Sanja, Panić, Marko, Šašić, Isidora, Despotović, Danica, Knežević, Milivoje, Crnojević, Vladimir

“…The aim of this work was to develop a method for selection of optimal soybean varieties for the American Midwest using data analytics. We extracted the…”
Get full text

Soya Yield Prediction on a Within-Field Scale Using Machine Learning Models Trained on Sentinel-2 and Soil Data by Pejak, Branislav, Lugonja, Predrag, Antić, Aleksandar, Panić, Marko, Pandžić, Miloš, Alexakis, Emmanouil, Mavrepis, Philip, Zhou, Naweiluo, Marko, Oskar, Crnojević, Vladimir

“…Agriculture is the backbone and the main sector of the industry for many countries in the world. Assessing crop yields is key to optimising on-field decisions…”
Get full text

MRI Reconstruction Using Markov Random Field and Total Variation as Composite Prior by Panić, Marko, Jakovetić, Dušan, Vukobratović, Dejan, Crnojević, Vladimir, Pižurica, Aleksandra

“…Reconstruction of magnetic resonance images (MRI) benefits from incorporating a priori knowledge about statistical dependencies among the representation…”
Get full text

Engineering Meteorological Features to Select Stress Tolerant Hybrids in Maize by Mimić, Gordan, Brdar, Sanja, Brkić, Milica, Panić, Marko, Marko, Oskar, Crnojević, Vladimir

“…In this study we used meteorological parameters and predictive modelling interpreted by model explanation to develop stress metrics that indicate the presence…”
Get full text