Frontiers in Interdisciplinary
Biomedical Research
2014 KTH-SJTU Joint Summer School
Time: August 24-29, 2014
Place: FB42, AlbaNova University center, Stockholm
Organizer: KTH-SJTU Joint Center for Innovation Driven Biomedical and
Education
Frontiers in Interdisciplinary Biomedical Research
2014 KTH-SJTU Joint Summer School
Location: FB42, AlbaNova University Center, Stockholm
August 24, Sunday
17:00-20:00
Reception and welcome dinner
August 25, Monday
8:00-8:10
Jerker Widengren, KTH/SCI
Welcome
8:10-10:00
Weihai Ying (SJTU) Mats Nilsson (KTH)
Education at SJTU and KTH
10:00-10:30
Coffee break
10:30-12:30
Xunbin Wei, SJTU
Biomedical optical imaging and detection
12:30-14:00
Lunch
14:00-16:00
Oral presentations by students
16:00-16:20
Coffee break
16:20-18:00
Poster session with presentations by students
August 26, Tuesday
8:00-9:00
Oral presentations by students
9:00-10:00
Jochen Schwenk, KTH/BIO
Antibodies as tools to study plasma proteomes and biobanks
10:00-10:30
10:30-12:30
12:30-13:40
13:40-14:40
14:40-15:40
15:40-16:00
16:00-18:30
Coffee break
Weihai Ying, SJTU
Mechanisms of neurological diseases
Lunch
Jerker Widengren, KTH/SCI
Ultrahigh resolution and ultrasensitive fluorescence methods
for biomolecular studies and towards diagnostic applications
Hans Bornefalk, KTH/SCI
Photon counting spectral CT development at KTH
Coffee break
Lab visits at AlbaNova and SciLifeLab
August 27, Wednesday
8:00-9:00
Oral presentations by students
9:00-10:00
Erik Fransén, KTH/CSC
Computational modeling and simulation in neuroscience
10:00-10:30
Coffee break
10:30-11:30
Hans von Holst, KTH/STH
Neuroengineering for clinical neuroscience
11:30-12:30
Martin Wiklund, KTH/SCI
Acoustic 3D culture: from single cells towards tissue
12:30-14:00
Lunch
14:00-15:00
Dmitry Grishenkov, KTH/STH
Fundamentals and practical application of the contrast agents
as microdevice for molecular imaging and therapy
15:00-16:00
Erik Aurell, KTH/SCI
Predicting amino acids contacts in proteins from many
homologous protein sequences
16:00-18:00
Coffee break/table tennis/discussions
19:00-21:00
Guided tour and dinner at Vasa museum
August 28, Thursday
8:00-9:00
Danica Kragic, KTH/CSC
Robotics - vision for action and action for vision
9:00-10:00
Wouter van der Wijngaart, KTH/EES
Micro- and nanosystem technology for medical applications
10:00-10:30 Coffee break
10:30-12:30
Yao Chen, SJTU
Visual prosthesis based on penetrative optic nerve electrode
12:30-13:40
Lunch
13:40-15:40
Xianting Ding, SJTU
Optimization of combinatorial drugs using an engineering
feedback system control (FSC) approach
15:40-16:00 Coffee break
16:00-18:30
Lab visits at AlbaNova and SciLifeLab
August 29, Friday
8:00-12:30
PI-workshop
12:30-14:00
Lunch
14:00-18:00
Free time/time for individual visits to research labs and groups
at KTH
18:00-20:00
Farewell dinner
Lecture abstracts
(in chronological order)
Biomedical optical imaging and detection
Prof. Xunbin Wei
Med-X research institute, SJTU
Optical Imaging and Detection are playing a very important role in
biomedical field. This presentation will introduce the latest techniques in
optical imaging and detection and their applications, including confocal
microscopy, two photon microscopy, photo-acoustic imaging, multi-spectral
imaging and optical coherent tomography.
Antibodies as tools to study plasma proteomes and
biobanks
Assoc. Prof. Jochen Schwenk
Biobank Profiling and Affinity Proteomics, SciLifeLab, KTH
New possibilities to study protein biomarkers of disease are driven by the
growth in categorized patient collections hosted in disease or population
biobanks. For a systematic exploration of larger numbers of patients, assays
based on suspension bead arrays and antibodies from the Human Protein
Atlas (HPA, www.proteinatlas.org, [1, 2]) are applied. This single-binder
approach has yet revealed candidates for prostate cancer [3] or
neuroendocrine tumors [4], and is being used for larger scaled, hypothesisfree disease studies. This affinity proteomic setting provides a versatile path
that reaches beyond a pure discovery and enables different verification
options through replication, additional serum or plasma samples [5], as well
as other specimen such as proximal body fluids [6], tissues or cells.
Experimental challenges such as susceptibility to off-target binding are being
addressed by the use of several antibodies towards a common target,
identification of captured proteins by mass spectrometry [7, 8], and
ultimately by developing sandwich assays for the target of interest [8]. The
presentation will give an overview on current activities to profile different
types of cancer by antibodies for serum and plasma analysis, and will discuss
strategies for candidate verification with and for multiplexed affinity
proteomics technologies.
References: [1] Uhlen, M. et al. (2010) Nat Biotech; [2] Häggmark, A. et al. (2012) New
Biotech.; [3] Schwenk, J.M. et al. (2010) Mol Cell Proteomics; [4] Darmanis, S. et al. (2013)
PLOSone; [5] Schwenk, J.M. et al. (2010) Proteomics; [6] Hggmark, A et al. (2013)
Proteomics; [7] Neiman, M. et al (2013) Proteomics; [8] Qundos, U. et al (2014) Transl.
Proteomics.
Mechanisms of neurological diseases
Prof. Weihai Ying
Med-X Research Institute, SJTU
Neurological disorders, including stroke, Alzheimer's disease and Parkinson's
disease, belong to most devastating diseases. In this lecture, an overview
about the disorders will be presented. The major mechanisms underlying
neurological disorders, including oxidative stress, impaired energy
metabolism, calcium dyshomeostasis, will be discussed.
Potential
therapeutic potential for the disorders will also be presented.
Ultrahigh resolution and ultrasensitive fluorescence
methods for biomolecular studies and towards diagnostic
applications
Prof. Jerker Widengren
Experimental Biomolecular Physics, KTH
The focus of our research group at KTH is to develop ultrasensitive and
ultrahigh resolution fluorescence spectroscopy and imaging techniques for
detection, identification and characterization of biomolecules, and to apply
these techniques for fundamental dynamic and conformational studies of
biomolecules and their interactions, as well as for biomolecular diagnostics
and screening.
In this presentation it will first be presented how additional, to-date largely
unexploited, information can be extracted by monitoring long-lived, nonfluorescent, photo-induced transient states of organic fluorophores and their
dynamics. By two major approaches, where the transient state information is
obtained either from fluorescence fluctuation analysis or by recording the
time-averaged fluorescence response to a time-modulated excitation, it is
possible to combine the detection sensitivity of the fluorescence signal with
the environmental sensitivity of the long-lived transient states [1-3]. Proofof-principle experiments, advantages, limitations and applications will be
discussed and live cell transient state (TRAST) imaging of cellular
metabolism will be presented.
Second, it will be shown how ultrahigh resolution imaging of cellular protein
distribution patterns using Stimulated Emission Depletion (STED)
microscopy can potentially provide new diagnostic parameters on the level of
individual cells, and also give further insights into underlying disease
mechanisms [4, 5]. Examples including cultured cells, clinically sampled
breast cancer cells and platelets will be given.
1. Sandén T, Persson G, Thyberg P, Blom H, Widengren J “Monitoring kinetics of highly
environment-sensitive states of fluorescent molecules by modulated excitation and timeaveraged fluorescence intensity recording” Anal. Chem. 79(9), 3330-3341, 2007
2. Widengren J “Fluorescence-based transient state monitoring for biomolecular
spectroscopy and imaging” J Royal Soc Interface 7(49), 1135-1144, 2010
3. Spielmann T, Xu L, Gad, AKB, Johansson, S, Widengren J. Transient state microscopy
probes patterns of altered oxygen consumption in cancer cells. FEBS J 281, 1317-1332,
2014
4. Rönnlund D, Yang Y, Blom H, Auer G, Widengren J “Fluorescence nanoscopy of
platelets resolves platelet-state specific storage, release and uptake of proteins, opening for
future diagnostic applications” Adv Healthcare Mat, 1(6), 707-713, 2012
5. Rönnlund D, Xu L, Perols A, Gad AKB, Eriksson Karlström A, Auer G, Widengren J
“Multicolor Fluorescence Nanoscopy by Photobleaching: Concept, Verification, and Its
Application To Resolve Selective Storage of Proteins in Platelets” ACS Nano, 8(5), 43584365, 2014
Photon counting spectral CT development at KTH
Assoc. Prof. Hans Bornefalk
Physics of Medical Imaging, KTH
Computed x-ray tomography (CT) is the imaging method where a cross
sectional map of the x-ray attenuating property (linear attenuation coefficient)
of the body is generated from x-ray transmission measurements.
Conventional CT detectors fail to extract and make use of the difference in
contrast information between high and low energy photons. For this reason
dual energy methods entered the market some 10 years ago, whereby 2 set
images is generated from x-ray spectra with different mean energies.
However, even such methods fail to make use of the energy information
contained in individual x-rays and for that reason photon counting techniques
have emerged recently that allow single photon detection and subsequent
energy determination. We denote this photon counting spectral CT and this
technique allows maximal extraction of the energy dependent x-ray
attenuation information. The information can be used in a multitude of ways;
for instance to reduce dose, increase contrast or to enhance particular
materials.
Spectral CT is widely believed to be the next big leap in the development of
computed tomography since the slice race. The Physics of Medical Imaging
group at KTH has developed such a prototype photon counting energy
sensitive CT based on direct conversion silicon diodes. In this talk, spectral
CT in general and photon counting spectral CT in particular will be
addressed. Pros and cons of silicon as a high energy detector material will be
discussed and we will also present pre-clinical CT images with
unprecedented spatial and energy resolution acquired with a bench top
prototype. The goal of the project is to integrate the detectors in a
commercial CT gantry during 2015 and commence clinical trials.
Computational modeling and simulation in neuroscience
Prof. Erik Fransén
Computer Science, KTH
The lecture focuses on mathematical modeling and computer simulation of
nerve cells, including physical and biochemical reactions within the cell, as
well as networks of neurons and brain systems. We discus both
methodological aspects of simulation as well as how modeling is used to
address questions in brain science.
Neuroengineering for clinical neuro-science
Prof. Hans von Holst
Neuroengineering, KTH
With an ever-increasing knowledge and competence in biology, medicine
and engineering, it is obvious that the present pattern that prevails within
bioengineering is to become further developed in new specialties. The new
paradigm, defined as Neuroengineering, is originating from an intense
collaboration due to the development of more advanced technology for
medical treatment in clinical neuroscience. The promotion of the new
paradigm neuroengineering is sprung from a natural consequence of
increased knowledge but also due to an increased demand of forwarding
present engineering knowledge into new biology and medical applications
for clinical neuroscience. In the present lecture some new innovative
applications will be presented aiming at improving the knowledge and
clinical treatment of some diagnoses in the field of clinical neurosurgery.
This includes new types of helmets to prevent traumatic brain injury, new
organic bioelectrodes for deep brain stimulation, a new fracture treatment
defined as the FRAP technology, new imaging techniques for noninvasive
brain injury evaluation.
Acoustic 3D cell culture: from single cells towards tissue
Assoc. Prof. Martin Wiklund
Dept. of Applied Physics, KTH
In this talk, we review our work on ultrasonic cell manipulation in multi-well
microplates. The method is based on generating acoustic resonances in an
array of micro-wells (1010 or more), in order to accurately control the
migration, positioning and aggregation of cells at the level of individual cells.
The device is compatible with high-resolution live-cell microscopy, which is
used for fluorescence-based optical characterization. The cell handling
device is fully integrated into a cell culture system where cells are
continuously controlled during culture over time periods up to one week or
more. The device has two main functions: It can be used for dynamic microarray cytometry (i.e. measuring time-dependent cellular properties in parallel
at the level of single cells), and it can be used for controlled cell culturing
(e.g. for micro-cultures in 3D), or both in parallel. We exemplify these two
functions of the device in three different experiments: Quantifying the
heterogeneity in cytotoxic response of natural killer (NK) cells interacting
with cancer cells, dynamic characterization of the inhibitory immune synapse,
and controlled formation of >100 solid liver tumor spheroids in parallel. The
method can be used in the future for optimizing protocols when preparing
immune cells for cancer immunotherapy.
Fundamentals and practical application of the
ultrasound contrast agents as a microdevice for
molecular imaging and therapy
Assoc. Prof. Dmitry Grishenkov
Physics of Medical Imaging, KTH
Ultrasound is probably the most used imaging approach for fast diagnosis
and monitoring of physiological conditions of internal organs and systems.
Its diagnostic efficiency can be greatly improved by the use of contrast
agents (UCA), presently used for passive enhancement of blood echoes.
UCA is generally a suspension of gas-filled microbubbles that are injected
intravenously. A continues development of new contrast agents leads to the
introduction of a new class of micro devices providing integrated diagnostic
and therapeutic functionalities, i.e. theranostics, using novel multi-functional
polymer-shelled microbubbles loaded with pharmacological moieties. With
the help of visualisation techniques, such as ultrasound, MRI and CT, hybrid
multimodal imaging as well as local and specific drug delivery down to
molecular level become possible. The cutting-edge potential result of these
integrated functions is the administration of a much lower drug dosage,
avoiding the side effects of pharmaceutical overloading, a well-known
drawback of chemotherapy.
Predicting amino acid contacts in proteins from many
homologous protein sequences
Prof. Erik Aurell
Theoretical Biological Physics, KTH
Correlation patterns in multiple sequence alignments of homologous proteins
can be exploited to infer information on the three-dimensional structure of
their members. The typical pipeline to address this task is to: (i) filter and
align the raw sequence data representing the evolutionarily related proteins;
(ii) choose a predictive model to describe a sequence alignment; (iii) infer the
model parameters and interpret them in terms of structural properties, such as
an accurate contact map. I will show here that all three aspects are important
for overall prediction success. In particular, it is possible to improve
significantly along the second dimension by going beyond the pair-wise
Potts models from statistical physics, which have hitherto been the focus of
the field. These (simple) extensions are motivated by multiple sequence
alignments often containing long stretches of gaps which, as a data feature,
would be rather untypical for independent samples drawn from a Potts model.
Using a large test set of proteins we show that the combined improvements
along the three dimensions are as large as any reported to date. CASP is a
biannual world-wide competition to computationally predict protein
structures which have been experimentally determined but are not yet public.
I will report on an attempt to compete in this summer's CASP using the
above methodology as part of the prediction process.
This lecture is built on joint work with Magnus Ekeberg and Tuomo
Hartonen in press in J Comp Physics as well as joint work with Christoph
Feinauer, Marcin J. Skwark and Andrea Pagnani (submitted).
Robotics - Vision for Action and Action for Vision
Prof. Danica Kragic
School of Computer Science and Communication, KTH
A robot system needs to autonomously acquire new knowledge through
interaction with the environment. The knowledge can be acquired only if
suitable perception-action capabilities are present: a robotic system has to be
able to detect, attend to and manipulate objects in the environment as well as
interact with people and other robots. We present our long-term work in the
area of vision based sensing and control with specific objectives on attention,
segmentation, multisensory control and learning. We address the problem of
object detection, grasp stability assessment and probabilistic models for
action encoding.
Micro- and
applications
Nanosystem
technology
for
medical
Prof. Wouter van der Wijngaart
Micro- and nanosystems, KTH
In many cases the acceptable size of technology in medical applications is
very limited. Microelectromechanical systems (MEMS) (also written as
micro-electro-mechanical, MicroElectroMechanical or micro-electronic and
microelectromechanical systems and the related micro-mechatronics) is the
technology of very small devices; it merges at the nano-scale into
nanoelectromechanical systems (NEMS) and nano-technology. MEMS are
also referred to as micromachines (in Japan), or micro systems technology –
MST (in Europe). The lecture will present recently developed miniaturized
medical tools that enable new ways of performing diagnostics and therapy.
These include minimally invasive medical devices and miniaturized in-vitro
diagnostic techniques (also called Labs-on-Chip). Examples devices include
microneedles for drug delivery, miniaturized in-vivo devices such as pressure
sensors for measurements inside the coronary arteries and implantable
microvalves for drainage of cerebrospinal fluid. Research is also made on
ultra-high sensitivity sensors capable to detect minute concentrations of
biomarkers or pathogens from human exhaled air or blood samples.
Visual prosthesis based on penetrative optic nerve
electrode
Assoc. Prof. Yao Chen
School of Biomedical Engineering, SJTU
A visual prosthesis based on penetrating stimulation electrodes within the
optic nerve (ON) is a potential way to restore partial functional vision for the
blind patients. Although a rough visuotopographic relationship was found
between the electrodes implanted just anterior to the chiasm in the ON, it is
still unknown the topography and spatial resolution of penetrative ON
prosthesis implanted close to ON head.
A five-electrode array was inserted perpendicular to the ON axis or a single
electrode was advanced at different depths within the ON ~12 mm behind the
eyeball in 13 cats. Cortical responses were recorded by a 5×6 epidural
electrode array. A sparse noise method was used to map electrode position in
ON and the visual cortex to establish ON and cortical visuotopic maps. Then
we compared the visual field positions of ON stimulation sites and their
elicited greatest cortical response (M-Channels) sites. Finally, we estimated
the spatial resolution of the penetrative ON prosthesis by calculating the
difference in M-channel visual field positions corresponding to neighboring
ON sites with an inter-electrode distance of 150μ m.
Electrical stimulation with penetrating ON electrodes inserted just posterior
to eyeball could elicit cortical responses with visuo-topographical
correspondence in cats. The electrical stimulation through electrodes within
the temporal ON can elicit cortical responses corresponding to the central
visual field. According to the increment of penetrating depth, the
corresponding elicited cortical responses shift from lower to central visual
field. About 2⁰ to 3⁰ spatial resolution within a limited visuotopic
representation in the cortex could be obtained by this approach.
Visuotopic electrical stimulation with relatively fine spatial resolution could
be accomplished by penetrative electrodes implanted at multi-sites and
different depths within ON close to the optic nerve head.
Optimization of combinatorial drugs using an
engineering feedback System control (FSC) approach
Assoc. Prof. Xianting Ding
Med-X Research Institute, SJTU
Drug combinations have been increasingly applied in clinical treatments
towards various types of lethal diseases, including HIV, TB and cancers, due
to the superior advantages of high efficacy, low toxicity and low occurrence
of drug resistance. The death rate of HIV patients was dropped by 60% in
two years after drug cocktails were introduced. While the drug combinations
are in generally effective, optimizing drug combinations remains challenging.
M drugs with N dose levels lead to NM total possibilities. For instance, 6
drugs with 10 dose levels ends up 1 million combinations, a prohibitive
searching space for conventional trial-by-error type of drug optimization
approaches. Furthermore, drug-drug interactions and drug-system
interactions can be extremely complicated. Therefore, the information
acquired from individual cellular molecules could hardly assess the
accumulative response at the bio-system level.
Herein, we introduce a Feedback System Control (FSC) approach, aiming to
rapidly optimize drug combinations out of millions of possibilities. The FSC
approach combines biological experimental tests and engineering feedback
control algorithms, avoids the high-throughput examination on large dataset,
optimizes a few combinations iteratively, bypasses the complicated
intracellular molecular interactions, and is able to identify the optimal
solution with only several rounds of experiments by testing less than 0.1% of
the total searching space. The FSC platform technology has been
successfully applied for optimizing drug combinations for 3 types of viral
infections, 6 types of cancers, and other biological scenarios such as paradise
control, stem cell maintenance and optimization of traditional Chinese
medicine (TCM).
Figure 1. Scheme of Feedback System Control (FSC) in viral infection case. Virus attempts to
infect host cells, while the drug combinations try to inhibit viral infection. For a non-optimal
drug combination, a majority of cells would become infected. Iteratively, FSC suggests more
effective drug combinations, leading to fewer viral infections.
Title of students’ posters (in alphabetical order)
1. Charged single-walled carbon nanotubes for biosensor design.
Zhangzhong Kang & Xu Wang (KTH)
2. Characterization of Arabidopsis mannanasesfrom GH5 family.
Yang Wang (KTH)
3. Chitosan/PVA Gel. Hongli Zhu (SJTU)
4. Designing a color-coded self-assembled microbead array for
diagnostic applications. Lara Lama (KTH)
5. Electrical and optical properties of colloidal quantum dots in cultured
human epithelial cells. Nestan Shambetova (KTH)
6. Intraoperative laser speckle contrast imaging improves stability of
rodent model of middle cerebral artery occlusion. Lu Yuan (SJTU)
7. Multi-domain feature analysis for depression: a study of N170 in time,
frequency and spatial domains. Qiangfeng Zhao (SJTU)
8. Optogenetics-based striatum stimulation affects neurogenesis in
mouse after ischemic stroke. Lu Jiang (SJTU)
9. Robust microdevice manufacturing by direct lithography and
adhesive-free bonding of OSTE+ polymer.
Alexander Vastesson (KTH)
10. SIRT2 inhibition induces cell death of PIEC cells. Jie Zhang (SJTU)
11. Trans-cis isomerization of lipophilic dyes provides a measure of
membrane microviscosity in biological membranes and in live cells.
Volodymyr Chmyrov (KTH)
12. Transient state monitoring of NADH and FAD.
Johan Tornmalm (KTH)
Title of students’ oral presentation (in alphabetical order)
1. A novel electrode for NADH high-sensitivity detection by electrochemical Method. Zonglin Li (SJTU)
2. An introduction to image recognition. Jingchen Ma (SJTU)
3. Catalytic activity of the Pd-doped Cu nanoparticles for the
dissociation of H2 Molecules. Xinrui Cao (KTH)
4. Cluster approximations of chemical enhanced molecule-surface
Raman spectra: The case of Trans-1,2-bis(4-pyridyl) ethylene (BPE) on
Gold. Wei Hu (KTH)
5. Defining and Inferring Gene Families.
Mehmood Alam Khan (KTH)
6. DEP and EWOD as an anti-fouling process for antibacterial surfaces.
Stavros Yika (KTH)
7. Development and fabrication of OSTE+ cartridges for the integration
of quartz crystal microbalance biosensors.
Reza Zandi Shafagh (KTH)
8. Electrical Impedance Spectroscopy for Cerebral Monitoring.
Seyed Reza Atefi (KTH)
9. Fabrication of a novel polymer-free nanostructured drug-eluting
coating for cardiovascular stents. Yao Wang (SJTU)
10. Functional in-vivo imaging of lenticulostriate artery based on
Synchrotron Radiation. Xiaojie Lin (SJTU)
11. Functional Water Molecules in Rhodopsin Activation.
Xianqiang Sun (KTH)
12. Investigating cortico-striatal loop and its role in health and disease.
Jovana Belic (KTH)
13. Investigation of lesion formation during phase shifted droplets
enhanced HIFU treatment. Ying Xin (SJTU)
14. Left and right hand recognition after right hand amputation.
Yuanyuan Lv (SJTU)
15. Modulated fluorescence of colloidal quantum dots embedded in a
porous alumina membrane. Hao Xu & Aizat Turdalevia (KTH)
16. Muscle synergy analysis for adaptive FES Control in stroke
rehabilitation. Xin He (SJTU)
17. PET image improvement using the patch confidence K-nearest
neighbors filter. Sicong Yu (KTH)
18. Photon counting spectral tomosynthesis in mammography.
Karl Berggren (KTH)
19. Scanning Inverse Fluorescence Correlation Spectroscopy.
Jan Bergstrand (KTH)
20. Skin hydration and moisturizing agents.
Cathrine Albèr (Malmö University)
21. The design of line pressure control solenoid value testing system.
Yilun Chen (SJTU)
22. The effects of multi domain versus single-domain cognitive training
in non-demented older people: a randomized controlled trial. Lifu Deng
(SJTU)
23. Transcranial Ultrasound Stimulation. Xiaoliu Zhang (SJTU)
Lists of Participants
(in alphabetical order for family names)
Cathrine Albèr
Dept of Health and Society
Malmö University
cathrine.alber@mah.se
Seyed Reza Atefi
Medical Engeering
KTH/SCI
atefi@kth.se
Erik Aurell
Theoretical Biological Physics
KTH/SCI
eaurell@kth.se
Jovana Belic
Computational Biology
KTH/CSC
belic@kth.se
Karl Berggren
Medical Imaging
KTH/SCI
karl.berggren@mi.physics.kth.se
Jan Bergstrand
Applied Physics
KTH/SCI
jabergs@kth.se
Hans Bornefalk
Applied Physics
KTH/SCI
hans.bornefalk@mi.physics.kth.se
Xinrui Cao
Theoretical Chemistry
KTH/SCI
xinrui@theochem.kth.se
Carl Fredrik Carlborg
Micro and Nanosystems
KTH/EES
frecar@kth.se
Yao Chen
Biomedical Engineering
SJTU
yao.chen@sjtu.edu.cn
Yilun Chen
Biomedical Engineering
SJTU
superalanchen@163.com
Volodymyr Chmyrov
Applied Physics
KTH/SCI
vchmyrov@kth.se
Lifu Deng
Biomedical Engineering
SJTU
knifah_1013@163.com
Xianting Ding
Med-X Research Institute
SJTU
dingxianting@gmail.com
Erik Fransén
Computional Biology
KTH/CSC
erikf@kth.se
Dmitry Grishenkov
Medical Imaging
KTH/STH
dmitryg@kth.se
Xin He
Biomedical Engineering
SJTU
brentbtbtbt@sjtu.edu.cn
Yingfang He
Research Office
KTH
yingfang@kth.se
Hans Hertz
Applied Physics
KTH/SCI
hans.hertz@biox.kth.se
Hans von Holst
Neuroengineering
KTH/STH
hans.holst@sth.kth.se
Wei Hu
Theoretical Chemistry
KTH/SCI
weihukth@gmail.com
Lu Jiang
Biology
SJTU
mantou863782935@126.com
Zhangzhong Kang
Theoretical Chemistry
KTH/SCI
zhkang@theochem.kth.se
Mehmood Alam Khan
Science for Life Laboratory
KTH/CSC
Malagori@kth.se
Danica Kragic
Centre for Autonomous Systems
KTH/CSC
dani@kth.se
Zonglin Li
Biomedical Engineering
SJTU
327927359@sjtu.edu.cn
Xiaojie Lin
Biomedical Engineering
SJTU
linxj_812@163.com
Yuanyuan Lv
Biomedical Engineering
SJTU
lvyuanyuanoo@gmail.com
Jingchen Ma
Biomedical Engineering
SJTU
majingchen@sjtu.edu.cn
Juan Carlos Marquez Ruiz
Mats Nilsson
Medical Technology
KTH/STH
mats.nilsson@sth.kth.se
KTH-SJTU
jcmr@kth.se
Jochen Schwenk
Science for Life Laboratory
KTH/BIO
jochen.schwenk@scilifelab.se
Reza Zandi Shafagh
Micro and Nanosystems
KTH/EES
rezazs@kth.se
Nestan Shambetova
Applied Physics
KTH/SCI
nestan@kth.se
Xianqiang Sun
Theoretical Chemistry
KTH/BIO
xianqiang@theochem.kth.se
Johan Tornmalm
Applied Physics
KTH/SCI
joto@kth.se
Joint Center for Innovation Driven
Biomedical and Education
Aizat Turdalevia
Applied Physics
KTH/SCI
aizat@kth.se
Alexander Vastesson
Micro and Nanosystems
KTH/EES
vaste@kth.se
Xu Wang
Theoretical Chemistry
KTH/SCI
wangxu@theochem.kth.se
Yang Wang
Industrial Biotechnology
KTH/BIO
yangwa@kth.se
Yao Wang
SJTU
wangyao131@aliyun.com
Yan Wang
Med-X Research Institute
SJTU
yanwang316@163.com
Xunbin Wei
Med-X Research Institute
SJTU
xwei01@sjtu.edu.cn
Jerker Widengren
Applied Physics
KTH/SCI
jwideng@kth.se
Wouter van der Wijngaart
Micro and Nanosystems
KTH/EES
wouter@kth.se
Martin Wiklund
Applied Physics
KTH/SCI
martin.wiklund@biox.kth.se
Ramon A. Wyss
Nuclear Physics
KTH/SCI
wyss@nuclear.kth.se
Ying Xin
Biomedical Engineering
SJTU
novelxiaoxin@126.com
Material Science & Engineering
Hao Xu
Applied Physics
KTH/SCI
haox@kth.se
Lei Xu
Applied Physics
KTH/SCI
lxu@kth.se
Stavros Yika
Micro and Nanosystems
KTH/EES
sorvats@gmail.com
Weihai Ying
Med-X Research Institute
SJTU
weihaiy@sjtu.edu.cn
Sicong Yu
Medical Imaging
KTH/STH
sicong@kth.se
Lu Yuan
Biomedical Engineering
SJTU
lulu_07@126.com
Jie Zhang
Biology
SJTU
673200896@qq.com
Xiaoliu Zhang
Biomedical Engineering
SJTU
gloriawaiting@163.com
Qiangfeng Zhao
Biomedical Engineering
SJTU
zhaoqf5@163.com
Hongli Zhu
Biomedical Engineering
SJTU
zhl4529@163.com