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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Single quantum emitters detection with amateur CCD: Comparison to a scientific-grade camera

Optics and Laser Technology. 2021. Vol. 143. Article 107301.
Gritchenko A. S., Eremchev I., Naumov A., Melentiev P. N., Balykin V. I.

Fluorescence imaging of single quantum light emitters (atoms, molecules, quantum dots, color centers in crystals)
is an inherent experimental problem of modern photonics and its numerous applications. In these measurements,
highly sensitive cameras are of the key significance. Recent progress in technologies of chargecoupling
devices (CCD) and complementary metal-oxide semiconductor (CMOS) sensors opens up possibilities
for detection of extreme low light signals up to a single photon counting. Here, we investigate the parameters of
high-professional scientific- and amateur-grade cameras in the view of their use in the fluorescence nanoscopy
with the detection of single molecules and, in general, quantum emitters of different nature. A series of photoluminescence imaging experiments have been conducted with single colloidal semiconductor core-shell
nanocrystals CdSeS/ZnS (quantum dots, QD), which are usually considered as a basis of various sensors and
actuators technologies. We find parameters of the experiment for the amateur-grade camera to obtain images of
single QDs with signal-to-noise ratio compared to the scientific-grade camera at exposure times ranging from 1s
to 1000s.

Research target: Physics Biology Nanotechnologies
Language: English
Full text
DOI
Text on another site
Keywords: визуализацияoptical sensorsфотоникаоптическая микроскопияphotonicsoptical microscopydetectorдетектороптический сенсорфлуоресцентная микроскопияfluorescent microscopyimagingCCDCMOSCCDCMOSОдиночные молекулы
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