15,733 research outputs found

    An Optically Stabilized Fast-Switching Light Emitting Diode as a Light Source for Functional Neuroimaging

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    Neuroscience research increasingly relies on optical methods for evoking neuronal activity as well as for measuring it, making bright and stable light sources critical building blocks of modern experimental setups. This paper presents a method to control the brightness of a high-power light emitting diode (LED) light source to an unprecedented level of stability. By continuously monitoring the actual light output of the LED with a photodiode and feeding the result back to the LED's driver by way of a proportional-integral controller, drift was reduced to as little as 0.007% per hour over a 12-h period, and short-term fluctuations to 0.005% root-mean-square over 10 seconds. The LED can be switched on and off completely within 100 µs, a feature that is crucial when visual stimuli and light for optical recording need to be interleaved to obtain artifact-free recordings. The utility of the system is demonstrated by recording visual responses in the central nervous system of the medicinal leech Hirudo verbana using voltage-sensitive dyes

    Evaluation of Dynamic Cell Processes and Behavior Using Video Bioinformatics Tools

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    Just as body language can reveal a person’s state of well-being, dynamic changes in cell behavior and morphology can be used to monitor processes in cultured cells. This chapter discusses how CL-Quant software, a commercially available video bioinformatics tool, can be used to extract quantitative data on: (1) growth/proliferation, (2) cell and colony migration, (3) reactive oxygen species (ROS) production, and (4) neural differentiation. Protocols created using CL-Quant were used to analyze both single cells and colonies. Time-lapse experiments in which different cell types were subjected to various chemical exposures were done using Nikon BioStations. Proliferation rate was measured in human embryonic stem cell colonies by quantifying colony area (pixels) and in single cells by measuring confluency (pixels). Colony and single cell migration were studied by measuring total displacement (distance between the starting and ending points) and total distance traveled by the colonies/cells. To quantify ROS production, cells were pre-loaded with MitoSOX Red™, a mitochondrial ROS (superoxide) indicator, treated with various chemicals, then total intensity of the red fluorescence was measured in each frame. Lastly, neural stem cells were incubated in differentiation medium for 12 days, and time lapse images were collected daily. Differentiation of neural stem cells was quantified using a protocol that detects young neurons. CLQuant software can be used to evaluate biological processes in living cells, and the protocols developed in this project can be applied to basic research and toxicological studies, or to monitor quality control in culture facilities

    A Tale of Two Projects: Basis for Centrosome Amplification after DNA Damage and Practical Assessment of Photodamage in Live-Cell Imaging: A Dissertation

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    This thesis comprises two separate studies that focus on the consequences of cellular damage. The first investigates the effects of DNA damage on centriole behavior and the second characterizes phototoxicity during live-cell imaging. Cancer treatments such as ionizing radiation and/or chemotherapeutic DNA damaging agents are intended to kill tumor cells, but they also damage normal proliferating cells. Although centrosome amplification after DNA damage is a well-established phenomenon for transformed cells, it is not fully understood in untransformed cells. The presence of extra centrosomes in normal cell populations raises the chances of genomic instability, thus posing additional threats to patients undergoing these therapies. I characterized centriole behavior after DNA damage in synchronized untransformed (RPE1) human cells. Treatment with the radiomimetic drug, Doxorubicin, prolongs G2 phase by at least 72hrs, where 52% of cells display disengaged centrioles and 10% contain extra centrioles. This disengagement is mediated by Plk and APC/C activities both singly and in combination. Disengaged centrioles are associated with maturation markers suggesting they are capable of organizing spindle poles. Despite the high incidence of centriole disengagement, only a small percentage of centrioles reduplicate due to p53/p21 dependent inhibition of Cdk2 activity. Although all cells become prolonged in G2 phase, 14% eventually go through mitosis, of which 26% contain disengaged or extra centrioles. In addition to cancer treatments, cellular damage can be acquired from various external conditions. Short wavelengths of light are known to be toxic to living cells, but are commonly used during live-cell microscopy to excite fluorescent proteins. I characterized the phototoxic effects of blue (488nm) and green (546nm) light on cell cycle progression in RPE1. For unlabeled cells, I found that exposure to green light is far less toxic than blue light, but is not benign. However, the presence of fluorescent proteins led to increased sensitivity to both blue and green light. For 488nm irradiations, spreading the total irradiation durations out into a series of 10s pulses or conducting single longer, but lower intensity, exposures made no significant changes in phototoxicity. However, reducing oxidative stress by culturing cells at physiological (~3%) oxygen, or treatment with a water-soluble antioxidant, Trolox, greatly improved the cells tolerance to blue light. Collectively, my work offers an explanation for centrosome amplification after DNA damage and demonstrates the importance of proper centriole regulation in untransformed human cells. Further, it provides a practical assessment of photodamage during live-cell imaging

    Soft X-ray spectromicroscopy using ptychography with randomly phased illumination

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    Ptychography is a form of scanning diffractive imaging that can successfully retrieve the modulus and phase of both the sample transmission function and the illuminating probe. An experimental difficulty commonly encountered in diffractive imaging is the large dynamic range of the diffraction data. Here we report a novel ptychographic experiment using a randomly phased X-ray probe to considerably reduce the dynamic range of the recorded diffraction patterns. Images can be reconstructed reliably and robustly from this setup, even when scatter from the specimen is weak. A series of ptychographic reconstructions at X-ray energies around the L absorption edge of iron demonstrates the advantages of this method for soft X-ray spectromicroscopy, which can readily provide chemical sensitivity without the need for optical refocusing. In particular, the phase signal is in perfect registration with the modulus signal and provides complementary information that can be more sensitive to changes in the local chemical environment

    Differential effects on membrane permeability and viability of human keratinocyte cells undergoing very low intensity megasonic fields

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    Among different therapeutic applications of Ultrasound (US), transient membrane sonoporation (SP) - a temporary, non-lethal porosity, mechanically induced in cell membranes through US exposure - represents a compelling opportunity towards an efficient and safe drug delivery. Nevertheless, progresses in this field have been limited by an insufficient understanding of the potential cytotoxic effects of US related to the failure of the cellular repair and to the possible activation of inflammatory pathway. In this framework we studied the in vitro effects of very low-intensity US on a human keratinocyte cell line, which represents an ideal model system of skin protective barrier cells which are the first to be involved during medical US treatments. Bioeffects linked to US application at 1 MHz varying the exposure parameters were investigated by fluorescence microscopy and fluorescence activated cell sorting. Our results indicate that keratinocytes undergoing low US doses can uptake drug model molecules with size and efficiency which depend on exposure parameters. According to sub-cavitation SP models, we have identified the range of doses triggering transient membrane SP, actually with negligible biological damage. By increasing US doses we observed a reduced cells viability and an inflammatory gene overexpression enlightening novel healthy relevant strategies

    3D + time blood flow mapping using SPIM-microPIV in the developing zebrafish heart

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    We present SPIM-μPIV as a flow imaging system, capable of measuring in vivo flow information with 3D micron-scale resolution. Our system was validated using a phantom experiment consisting of a flow of beads in a 50 μm diameter FEP tube. Then, with the help of optical gating techniques, we obtained 3D + time flow fields throughout the full heartbeat in a ∼3 day old zebrafish larva using fluorescent red blood cells as tracer particles. From this we were able to recover 3D flow fields at 31 separate phases in the heartbeat. From our measurements of this specimen, we found the net pumped blood volume through the atrium to be 0.239 nL per beat. SPIM-μPIV enables high quality in vivo measurements of flow fields that will be valuable for studies of heart function and fluid-structure interaction in a range of small-animal models

    Detecting, segmenting and tracking bio-medical objects

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    Studying the behavior patterns of biomedical objects helps scientists understand the underlying mechanisms. With computer vision techniques, automated monitoring can be implemented for efficient and effective analysis in biomedical studies. Promising applications have been carried out in various research topics, including insect group monitoring, malignant cell detection and segmentation, human organ segmentation and nano-particle tracking. In general, applications of computer vision techniques in monitoring biomedical objects include the following stages: detection, segmentation and tracking. Challenges in each stage will potentially lead to unsatisfactory results of automated monitoring. These challenges include different foreground-background contrast, fast motion blur, clutter, object overlap and etc. In this thesis, we investigate the challenges in each stage, and we propose novel solutions with computer vision methods to overcome these challenges and help automatically monitor biomedical objects with high accuracy in different cases --Abstract, page iii
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