Name: insect-machine hybrid system: remote radio control of a freely flying beetle (mercynorrhina torquata)
Uploaded: 2016-09-02T13:00:00.000+00:00
Duration: 10 min 17 s
Description: Watch this Scientific Journal Video about Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle Mercynorrhina torquata at JoVE.com

This material is based on the works supported by Nanyang Assistant Professorship (NAP, M4080740), Agency for Science, Technology and Research (A*STAR) Public Sector Research Funding (PSF, M4070190), A*STAR-JST (The Japan Science and Technology Agency) joint grant (M4070198), and Singapore Ministry of Education (MOE2013-T2-2-049). The authors would like to thank Mr. Roger Tan Kay Chia, Prof. Low Kin Huat, Mr. Poon Kee Chun, Mr. Chew Hock See, Mr. Lam Kim Kheong and Dr. Mao Shixin at School of MAE for their support in setting up and maintaining the research facilities. The authors thank Prof. Michel Maharbiz (U.C. Berkeley) his advice and discussion, Prof. Kris Pister and his group (U.C. Berkeley) for their support in providing the GINA used in this study.

1. animal Estudo <ol><li> besouros traseiros individuais Mecynorrhina torquata (6 cm, 8 g) em recipientes de plástico separados com cama de aglomerados de madeira. </li><li> Alimentar cada besouro um copo de geléia de açúcar (12 ml) a cada 3 dias. </li><li> Manter a temperatura e humidade da sala de criação, a 25 ° C e 60%, respectivamente. </li><li> Testar a capacidade de vôo de cada besouro antes de implantar eletrodos de arame fino. <ol><li> Gentilmente jogar um besouro no ar. Se o besouro pode voar por mais de 10 segundos para 5 ensaios consecutivos, concluir que o besouro tem capacidades aéreas regulares e empregá-lo para experimentos voo seguinte. Para recuperar o besouro, desligar todas as luzes da sala para torná-lo escuro. Isso faz com que o besouro para terminar o vôo. Nota: Um besouro espontaneamente começa a voar para longe quando liberado no ar. É preferível realizar as experiências de voo numa sala fechada, tal como a mostrada na Figura 1 (16 x 8 x 4 m <sup&gt; 3 com um espaço de captura de movimento de 12,5 x 8 x 4 m 3), com um vôo movimentos besouro muito rápido (aproximadamente 3-5 m / s) e atrai grandes arcos ao girar no ar. </li></ol></li></ol> 2. Eletrodo Implantação <ol><li> Anestesiar o besouro, colocando-o em um recipiente de plástico cheio com CO 2 durante 1 min 13,16,20-24. </li><li> Amaciar a cera dental por imersão em água quente por 10 seg. Coloque o besouro anestesiados em um bloco de madeira e imobilizá-lo com a cera dental amolecida. A cera dental naturalmente esfria e se solidifica dentro de alguns minutos. </li><li> Corte fios de prata isolados (127 mm de diâmetro nua, 178 mm de diâmetro quando revestido com perfluoroalkoxy) em comprimentos de 25 mm de usar eletrodos de fio finas para implantação. </li><li> Expor 3 mm de prata nua por chamas do isolador em ambas as extremidades de cada fio. </li><li> Dissecar a superfície superior da cutícula do besouro usando uma tesoura de ponta fina para criar uma smaLL janela de cerca de 4 x 4 mm no metepisternum (Figura 2c). Nota: A cutícula de cor castanha suave é então exposta, tal como mostrado nas Figuras 2c - e. O músculo 3AX está localizado por baixo da cutícula macia. </li><li> Pierce dois furos na cutícula castanho expostos usando um pino de inseto (tamanho 00) com uma distância de 2 mm entre os dois furos (Figura 2D). </li><li> Inserir dois eléctrodos de fio (incluindo uma eléctrodos activos e um retorno, preparado no passo 2.4) cuidadosamente através dos orifícios e implantá-las em cada músculo 3ax a uma profundidade de 3 mm. </li><li> Fixe os eletrodos implantados e mantê-los no lugar para evitar o contato e curto-circuitos, largando cera de abelha derretida sobre os buracos. Se necessário, a cera de abelha refluir através da cutícula tocando a cera de abelha com a ponta do ferro de soldar a quente. A cera solidifica rapidamente e reforça a implantação. Nota: Para verificar se o implante está correto, o elytra da beterrabale pode ser levantada para observar o movimento do músculo 3ax durante a estimulação eléctrica. </li></ol> 3. Montagem Backpack sem fio Nota: A mochila consistiu de um built-in microcontrolador rádio em uma em camadas placa de 4 FR-4 (1,6 x 1,6 centímetros 2). A mochila foi impulsionado por uma micro bateria de polímero de lítio (3,7 V, 350 mg, 10 mAh). A massa total da mochila, incluindo a bateria foi de 1,2 ± 0,26 g, o qual é menor do que a capacidade de carga do besouro (30% de 10 g de peso corporal). A mochila foi pré-programado para receber comunicações sem fio e tinha dois canais de saída. <ol><li> Limpe a superfície do pronoto (remover a camada de cera na cutícula) usando fita dupla face. Em seguida, coloque a mochila no pronotum do besouro com um pedaço de fita dupla face. </li><li> Conectar as extremidades dos eléctrodos implantados às saídas da mochila. </li><li> Enrole fita retro-reflexivo em torno do micro bateria para produzir um marcador focâmeras de captura de movimento r de detectar. </li><li> Anexar a microbateria para o topo da mochila utilizando um pedaço de fita adesiva de dupla face de modo que a fita retro-reflectora pode ser detectado por câmaras de captura de movimento. </li></ol> 4. Wireless Control System Nota: Neste caso, o sistema de controle sem fio termo inclui um receptor para o controlador remoto, um computador portátil para executar o software de controle de vôo costume, uma estação base, a mochila, e o sistema de captura de movimento. <ol><li> Ligue a estação base eo receptor do controle remoto para o computador portátil através de portas USB. </li><li> Ligue o sistema de captura de movimento e conecte-o ao computador portátil através de uma porta Ethernet. </li><li> Executar a calibração de volume, acenando a varinha de calibração (fornecido pela empresa fabricante do sistema de captura de movimento) para cobrir totalmente o espaço de captura de movimento. <ol><li> Abra o software de captura de movimento a partir do desktop do laptop. Clique e drag para selecionar todas as câmeras no menu &quot;Sistema&quot; do painel &quot;Recursos&quot;. </li><li> Clique no menu &quot;Perspectiva 3D&quot; e selecione &quot;Camera&quot; para mudar para a visualização da câmera. Clique na aba &quot;Camera&quot; no painel &quot;Ferramentas&quot; para mostrar o ajuste de calibração. Clique em &quot;Iniciar&quot; no menu &quot;Criar Máscaras Câmera&quot; para eliminar o ruído das câmeras e, em seguida, &quot;Stop&quot; após o barulho é mascarado em azul. </li><li> Clique e selecione &quot;5 Marcador Wand &amp; L-Frame&quot; no menu &quot;Wand&quot; eo menu &quot;L-Frame&quot; no separador &quot;Câmara&quot;. Defina o &quot;Contagem Wand&quot; para 2500, clique em &quot;Start&quot; no menu &quot;Câmeras Calibrar&quot;, e acenar a varinha de calibração através de todo o espaço de captura de movimento. O processo de calibração pára quando a contagem varinha atinge 2.500. </li><li> Repita o processo de calibração se o erro de imagem (na parte inferior da guia &quot;Camera&quot; do painel &quot;Ferramentas&quot;) é superior a 0,3 fou qualquer câmera. Depois de calibrar, coloque a varinha no chão no meio do espaço de captura de movimento e clique em &quot;Start&quot; no menu &quot;Definir Origem Volume&quot; para definir a origem do espaço de captura de movimento. </li></ol></li><li> Verifique a cobertura do sistema de captura de movimento utilizando um ensaio em branco para gravar o caminho de movimento de um marcador acenou por um usuário no espaço de captura de movimento e confirmar se o marcador é detectado e monitorado. Se o marcador é frequentemente perdido durante a detecção, repita a calibragem de volume até que o ensaio em branco bem-sucedido. <ol><li> Clique na aba &quot;Capture&quot; no painel &quot;Ferramentas&quot; e depois &quot;Iniciar&quot; no menu &quot;Capture&quot; antes de acenar o marcador amostra através de todo o espaço de captura de movimento para gravar sua trajetória. </li><li> Após a gravação, clique em &quot;Executa o gasoduto Reconstruct&quot; para reconstruir as posições do marcador e verificar a qualidade da gravação. </li></ol></li><li> Ligar os terminais do Microbattery (ligado à mochila no passo 3.4) para os pinos de alimentação da mochila. </li><li> Teste a comunicação sem fios entre o computador portátil e a mochila usando o software de controle de vôo personalizado. Clique no comando &quot;Iniciar&quot; no software e verificar o status da conexão exibido. </li></ol> Experiência 5. Vôo Livre <ol><li> Realizar a experiência de voo livre em uma arena de vôo medindo 16 x 8 x 4 m 3. </li><li> Entrada os parâmetros apropriados para o software de controle de vôo (tensão, largura de pulso, frequência e duração estimulação). Nota: Para demonstração, que fixa a tensão de 3 V, largura de impulso de 3 ms, e a duração de estimulação de 1 seg e a frequência variou de 60 a 100 Hz. <ol><li> Na tela do software, o tipo 3 para 3 V na caixa &quot;Voltage&quot;, de 1.000 para 1.000 ms na caixa de &quot;Estimulação Duração&quot;, 3 por 3 ms na caixa &quot;Largura de Pulso&quot;, e uma frequência desejada em Hz no &quot; frequência &quot;caixa de on janela de comando. </li></ol></li><li> Solte o besouro montado na mochila para o ar que lhe permite voar livremente dentro da arena de voo. acionar manualmente a estimulação quando o besouro entra no espaço de captura de movimento. Pressione o botão apropriado de comando (esquerda ou direita) no controle remoto para estimular o músculo alvo do lado esquerdo ou direito do besouro. Nota: Uma vez que o botão é pressionado, o software de controle de vôo em execução no laptop gera o comando e envia-lo para a mochila. A mochila, em seguida, emite o estímulo eléctrico ao músculo de interesse (no lado esquerdo ou direito). </li><li> Observe a reação do besouro em tempo real durante a estimulação e reconstruir os dados utilizando software de gráficos 3D. <ol><li> Escolha um dos ensaios gravados na lista de dados da janela &quot;Beetle Display&quot; e clique em &quot;Panda Export&quot; para copiar os dados de que o julgamento para a pasta de análise e executar o módulo de gráficos 3D. </li><li> Pressione &quot;N&quot; nao teclado para combinar o sinal de estímulo com a trajetória gravada. Prima I para mostrar a trajetória do besouro com os períodos de estimulação destacadas. </li></ol></li></ol>

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The authors declare that there are no conflicts of interest.

O processo de implantação é importante, pois afeta a confiabilidade do experimento. Os eléctrodos deve ser inserido dentro do músculo a uma profundidade de 3 mm ou menos, dependendo do tamanho do besouro (evitando o contacto com os músculos próximas). Se os eletrodos tocar os músculos próximos, ações motoras indesejáveis ​​e comportamentos podem ocorrer devido à contração dos músculos próximos. Os dois eléctrodos deve ser bem alinhados para assegurar que não há curto-circuito ocorrer. Quando a fu...

An insect-machine hybrid system, often referred to as a cyborg insect or biobot, is the fusion of a living insect platform with a miniature mounted electronic device. The electronic device, which is wirelessly commanded by a remote user, outputs an electrical signal to electrically stimulate neuromuscular sites in the insect via implanted wire electrodes to induce user desired motor actions and behaviors. In the early stages of this research field, researchers were limited to conducting wireless recording of the muscular action of an insect, using simple analog circuits comprised of surface-mounted components1-3. The development of system-on-a-chip technology with radio frequency functionality enabled not only the wireless recording of neuromuscular signals but also the electrical stimulation of the neuromuscular sites in living insects. At present, a built-in radio microcontroller is small enough to be mounted on living insects without causing any obstructions to their locomotion4-13.
The development of the built-in radio microcontroller allows researchers to determine electrical stimulation protocols to induce desired motor actions to control the locomotion of the insect of interest. On the ground, researchers have demonstrated walking control by stimulating the neuromuscular sites of cockroaches4,12,14, spiders15, and beetles16,17. In the air, the initiation and cessation of flight were achieved using different methods such as the stimulation of the optic lobes (the massive neural cluster of a compound eye) in beetles7,9 and brain sub-regions in bees18, whereas turning control has been demonstrated by stimulating the antennae muscles and nervous system of the abdomens in moths11,19 and the flight muscles of beetles7,9,13. In most cases, a built-in radio microcontroller was integrated on a custom-designed printed circuit board to produce a miniature wireless stimulator (backpack), which was mounted on the insect of interest. This allows wireless electrical stimulation to be applied to a freely walking or flying insect. Such a microcontroller-mounted insect is what is referred to as an insect-machine hybrid system. 
This study describes the experimental protocols for building an insect-machine hybrid system, wherein a living beetle is employed as the insect platform, and instructs on how to operate the robot and test its flight control systems. The third axillary sclerite (3Ax) muscle was chosen as the muscle of interest for electrical stimulation and demonstration of left or right turning control13. A pair of thin silver wire electrodes was implanted in both the left and right 3Ax muscles. Moreover, a backpack was mounted on the living beetle. The other ends of the wire electrode were connected to the output pins of the microcontroller. The backpack was small enough for the beetle to carry in flight. Thus, this allows an experimentalist to remotely stimulate the muscle of interest of an insect in free flight and investigate its reactions to the stimulations.

<table><tbody><tr><td>Mecynorrhina torquata beetle</td><td>Kingdom of Beetle Taiwan</td><td></td><td>10 g, 8 cm, pay load capacity is 30% of the body mass&lt;br/&gt; Aproval of importing and using by Agri-Food and Veterinary Authority of Singapore (AVA; HS code: 01069000, product code: ALV002).</td></tr><tr><td>Wireless backpack stimulator</td><td>Custom</td><td></td><td>TI CC2431 micocontroler&lt;br/&gt; The board is custom made based on the GINA board from Prof. Kris Pister&amp;rsquo;s lab. The layout of GINA board can be found at&amp;nbsp;&amp;nbsp;&amp;nbsp; https://openwsn.atlassian.net/wiki/display/OW/GINA</td></tr><tr><td>Wii Remote control</td><td>Nintendo</td><td></td><td>Bluetooth remote control to send the command to the operator laptop</td></tr><tr><td>BeetleCommander v1.8</td><td>Custom. Maharbiz group at UC Berkeley and Sato group at NTU</td><td></td><td>Establish the wireless communication of the backpack and the operator laptop. Configure the stimulus parameters and log the positional data. Visualize the flight data.</td></tr><tr><td>GINA base station</td><td>Kris Pister group at UC Berkeley</td><td></td><td>TI MSP430F2618 and AT86RF231</td></tr><tr><td>Motion capture system</td><td>VICON</td><td>T160</td><td>8 cameras for a flight arena of 12.5 m x 8 m x 4 m</td></tr><tr><td>Motion capture system</td><td>VICON</td><td>T40s</td><td>12 cameras for a flight arena of 12.5 x 8 x 4 m</td></tr><tr><td>Micro battery</td><td>Fullriver</td><td>&amp;nbsp;201013HS10C&amp;nbsp;</td><td>3.7V, 10 mAh</td></tr><tr><td>Retro reflective tape</td><td>Reflexite</td><td>V92-1549-010150</td><td>V92 reflective tape, silver color</td></tr><tr><td>PFA-Insulated Silver Wire&amp;nbsp;</td><td>A-M systems</td><td>786000</td><td>127 &amp;micro;m bare, 177.8 &amp;micro;m coated, 3 mm bare silver flame exposed at tips</td></tr><tr><td>SMT Micro Header&amp;nbsp;</td><td>SAMTEC</td><td>FTSH-110-01-L-DV</td><td>0.3 mm x 6 mm, bend to make a 3 mm long slider to secure the electrode into the PCB header.</td></tr><tr><td>Beeswax</td><td></td><td></td><td>Secure the electrodes</td></tr><tr><td>Dental Wax</td><td>Vertex</td><td></td><td>Immobilize the beetle</td></tr><tr><td>Insect pin</td><td>ROBOZ</td><td>RS-6082-30</td><td>Size&amp;nbsp; 00; 0.3 mm Rod diameter; 0.03 mm tip width; 38 mm Length&amp;nbsp;&lt;br/&gt; Make electrode guiding holes on cuticle</td></tr><tr><td>Tweezers</td><td>DUMONT</td><td>RS-5015</td><td>Pattern #5; .05 mm x .01 mm Tip Size; 110 mm Length&lt;br/&gt; Dissecting and implantation</td></tr><tr><td>Scissors</td><td>ROBOZ</td><td>RS-5620</td><td>Vannas Micro Dissecting Spring Scissors; Straight; 3mm Cutting Edge; 0.1 mm Tip Width; 3&quot; Overall Length&amp;nbsp;&lt;br/&gt; Dissecting and implantation</td></tr><tr><td>Potable soldering iron</td><td>DAIYO</td><td>DS241</td><td>Reflow beeswax</td></tr><tr><td>Hotplate&amp;nbsp;</td><td>CORNING</td><td>PC-400D</td><td>Melting beeswax and dental wax</td></tr><tr><td>Flourescent lamp</td><td>Philips</td><td>TL5 14W</td><td>Light the entire flight arena with 30 panels (60 x 60 cm&lt;sup&gt;2&lt;/sup&gt;). Each panel has 3 lamps.&lt;br/&gt; 14 W, 549 mm x 17 mm&amp;nbsp;</td></tr></tbody></table>

insect-machine hybrid system: remote radio control of a freely flying beetle (mercynorrhina torquata)

A ascensão de aparelhos eletrônicos digitais habilitados para rádio fez com que o uso de pequenos gravadores neuromusculares sem fio e estimuladores para estudar o comportamento de insetos em voo. Esta tecnologia permite o desenvolvimento de um sistema híbrido de inseto-máquina, utilizando uma plataforma de insetos vivendo descrito neste protocolo. Além disso, este protocolo apresenta a configuração do sistema e procedimentos experimentais de vôo livre para avaliar a função dos músculos do vôo em um inseto untethered. Para demonstração, alvo do músculo terceira axilar sclerite (3AX) para controlar e conseguir virar à esquerda ou à direita de um besouro voando. Um eléctrodo de fio de prata fina foi implantado no músculo 3ax em cada lado do besouro. Estes foram ligados às saídas de uma mochila sem fio (isto é, um estimulador eléctrico neuromuscular) montado no pronotum do besouro. O músculo foi estimulado em vôo livre, alternando o lado estimulação (esquerda ou direita) ou variando a stimulatiofrequência n. O besouro virado para o lado ipsilateral quando o músculo foi estimulado e exibiu uma resposta gradual para uma frequência cada vez maior. O processo de implantação e calibragem do volume do movimento sistema de câmera captura 3 dimensional precisa ser realizada com cuidado para evitar danos ao músculo e perder de vista o marcador, respectivamente. Este método é altamente benéfico para estudar vôo de insetos, uma vez que ajuda a revelar as funções do músculo do vôo de interesse em vôo livre.

O procedimento de implantação de eléctrodos é apresentado na Figura 2, os eléctrodos de arame de prata fina foram implantados no músculo 3ax do besouro através de pequenos orifícios perfurados na cutícula macio sobre o músculo (Figuras 2d - e).. Este cutícula macia é encontrada logo acima da apodema do músculo basalar após a remoção da parte anterior do metepisternum (Figuras 2d - c). Os ...

Watch this Scientific Journal Video about Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle Mercynorrhina torquata at JoVE.com

Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle Mercynorrhina torquata

This protocol describes the process of constructing an insect-machine hybrid system and carrying out wireless electrical stimulation of the flight muscles required to control the turning motion of a flying insect.

Insect-máquina Sistema Híbrido: Controle de rádio remoto de um Beetle Livremente Aeronáutica (<em&gt; Torquata Mercynorrhina</em&gt;)

The rise of radio-enabled digital electronic devices has prompted the use of small wireless neuromuscular recorders and stimulators for studying in-flight ...

insect-machine-hybrid-system-remote-radio-control-freely-flying

Research

JoVE Journal

Neuroscience

Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle (Mercynorrhina torquata)

12.2K visualizações.  Nanyang Technological University. This protocol describes the process of constructing an insect-machine hybrid system and carrying out wireless electrical stimulation of the flight muscles required to control the turning motion of a flying insect.

Vídeo: Insect-machine Hybrid System: Remote Radio Control of a Freely Flying Beetle Mercynorrhina torquata

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

The non-stationary nature and variability of neuronal signals is a fundamental problem in brain-machine interfacing. We developed a brain-machine interface to assess the robustness of different control-laws applied to a closed-loop image stabilization task. Taking advantage of the well-characterized fly visuomotor pathway we record the electrical activity from an identified, motion-sensitive neuron, H1, to control the yaw rotation of a two-wheeled robot. The robot is equipped with 2 high-speed video cameras providing visual motion input to a fly placed in front of 2 CRT computer monitors. The activity of the H1 neuron indicates the direction and relative speed of the robot's rotation. The neural activity is filtered and fed back into the steering system of the robot by means of proportional and proportional/adaptive control. Our goal is to test and optimize the performance of various control laws under closed-loop conditions for a broader application also in other brain machine interfaces.

We use a closed-loop fly-machine interface to investigate general principles in neuronal control.

Uma Plataforma Experimental para Estudo de Desempenho de circuito fechado de interfaces cérebro-máquina

The non-stationary nature and variability of neuronal signals is a fundamental problem in brain-machine interfacing. We developed a brain-machine ...

Neurociência

Early Metamorphic Insertion Technology for Insect Flight Behavior Monitoring

Early Metamorphosis Insertion Technology (EMIT) is a novel methodology for integrating microfabricated neuromuscular recording and actuation platforms on insects during their metamorphic development. Here, the implants are fused within the structure and function of the neuromuscular system as a result of metamorphic tissue remaking. The implants emerge with the insect where the development of tissue around the electronics during pupal development results in a bioelectrically and biomechanically enhanced tissue interface. This relatively more reliable and stable interface would be beneficial for many researchers exploring the neural basis of the insect locomotion with alleviated traumatic effects caused during adult stage insertions. In this article, we implant our electrodes into the indirect flight muscles of Manduca sexta. Located in the dorsal-thorax, these main flight powering dorsoventral and dorsolongitudinal muscles actuate the wings and supply the mechanical power for up and down strokes. Relative contraction of these two muscle groups has been under investigation to explore how the yaw maneuver is neurophysiologically coordinated. To characterize the flight dynamics, insects are often tethered with wires and their flight is recorded with digital cameras. We also developed a novel way to tether Manduca sexta on a magnetically levitating frame where the insect is connected to a commercially available wireless neural amplifier. This set up can be used to limit the degree of freedom to yawing &#8220;only&#8221; while transmitting the related electromyography signals from dorsoventral and dorsolongitudinal muscle groups.

We present a novel surgical procedure to implant electrodes in Manduca sexta during its early metamorphic stages. This technique allows mechanically stable and electrically reliable coupling with the neuromuscular tissue to study flight neurophysiology dynamics. We also present a novel magnetic levitation platform for tethered studies of insect yaw.

Cedo metamórfica de Inclusão Tecnologia para o Comportamento de Monitoramento de insetos de vôo

Early Metamorphosis Insertion Technology (EMIT) is a novel methodology for integrating microfabricated neuromuscular recording and actuation platforms on ...

Comportamento

Measuring the Flight Ability of the Ambrosia Beetle, Platypus Quercivorus (Murayama), Using a Low-Cost, Small, and Easily Constructed Flight Mill

The ambrosia beetle, Platypus quercivorus (Murayama), is the vector of a fungal pathogen that causes mass mortality of Fagaceae trees (Japanese oak wilt). Therefore, knowing the dispersal capacity may help inform trapping/tree removal efforts to prevent this disease more effectively. In this study, we measured the flight velocity and duration and estimated the flight distance of the beetle using a newly developed flight mill. The flight mill is low cost, small, and constructed using commonly available items. Both the flight mill arm and its vertical axis comprise a thin needle. A beetle specimen is glued to one tip of the arm using instant glue. The other tip is thick due to being covered with plastic, thus it facilitates the detection of rotations of the arm. The revolution of the arm is detected by a photo sensor mounted on an infrared LED, and is indicated by a change in the output voltage when the arm passed above the LED. The photo sensor is connected to a personal computer and the output voltage data are stored at a sampling rate of 1 kHz. By conducting experiments using this flight mill, we found that P. quercivorus can fly at least 27 km. Because our flight mill comprises cheap and small ordinary items, many flight mills can be prepared and used simultaneously in a small laboratory space. This enables experimenters to obtain a sufficient amount of data within a short period.

Measuring the Flight Ability of the Ambrosia Beetle, Platypus Quercivorus Murayama, Using a Low-Cost, Small, and Easily Constructed Flight Mill

We developed a low cost and small flight mill, constructed with commonly available items and easily used in experimentation. Using this apparatus, we measured the flight ability of an ambrosia beetle, Platypus quercivorus.

Medir a capacidade de voo do besouro Ambrosia, ornitorrinco Quercivorus (Murayama), usando um baixo custo, pequeno e voo facilmente construído moinho

The ambrosia beetle, Platypus quercivorus (Murayama), is the vector of a fungal pathogen that causes mass mortality of Fagaceae trees (Japanese oak wilt). ...

Ambiente

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Existing systems to measure insect emergence patterns have limitations; they are only partially automated and are limited in the maximum number of emerging insects they can detect. In order to obtain precise measurement of insect emergence, it is necessary for systems to be semi-automated and able to measure large numbers of emerging insects. We addressed these issues by designing and building a system that is automated and can measure emergence of up to 1200 insects. We modified the existing &#34;falling-ball&#34; system using Arduino microcontrollers to automate data collection and expand the sample size through multiple data channels. Multiple data channels enable the user to not only increase their sample size, but also allows for multiple treatments to be run simultaneously in a single experiment. Furthermore, we created an R script to automatically visualize the data as a bubble plot, while also calculating the median day and time of emergence. The current system was designed using 3D printing so the user can modify the system to be adjusted for different species of insects. The goal of this protocol is to investigate important questions in chronobiology and stress physiology, using this precise and automated system to measure insect emergence patterns.

Measurement of insect emergence patterns requires precision. Existing systems are only semi-automated and sample size is limited. We addressed these issues by designing a system using microcontrollers to precisely measure the time of emergence of large numbers of emerging insects.

Um sistema autónomo e preciso para a detecção de padrões de emergência de insetos

Existing systems to measure insect emergence patterns have limitations; they are only partially automated and are limited in the maximum number of ...

Flying Insect Detection and Classification with Inexpensive Sensors

An inexpensive, noninvasive system that could accurately classify flying insects would have important implications for entomological research, and allow for the development of many useful applications in vector and pest control for both medical and agricultural entomology. Given this, the last sixty years have seen many research efforts devoted to this task. To date, however, none of this research has had a lasting impact. In this work, we show that pseudo-acoustic optical sensors can produce superior data; that additional features, both intrinsic and extrinsic to the insect&#8217;s flight behavior, can be exploited to improve insect classification; that a Bayesian classification approach allows to efficiently learn classification models that are very robust to over-fitting, and a general classification framework allows to easily incorporate arbitrary number of features. We demonstrate the findings with large-scale experiments that dwarf all previous works combined, as measured by the number of insects and the number of species considered.

We proposed a system that uses inexpensive, noninvasive pseudo-acoustic optical sensors to automatically and accurately detect, count, and classify flying insects based on their flying sound.

Vôo Detecção e Classificação Insect com sensores baratos

An inexpensive, noninvasive system that could accurately classify flying insects would have important implications for entomological research, and allow ...

Bioengenharia

Building an Enhanced Flight Mill for the Study of Tethered Insect Flight

Makerspaces have a high potential of enabling researchers to develop new techniques and to work with novel species in ecological research. This protocol demonstrates how to take advantage of the technology found in makerspaces in order to build a more versatile flight mill for a relatively low cost. Given that this study extracted its&#160;prototype from flight mills built in the last decade, this protocol focuses more on outlining divergences made from the simple, modern flight mill. Previous studies have already shown how advantageous flight mills are to measuring flight parameters such as speed, distance, or periodicity. Such mills have allowed researchers to associate these parameters with morphological, physiological, or genetic factors. In addition to these advantages, this study discusses the benefits of using the technology in makerspaces, like 3D printers and laser cutters, in order to build a more flexible, sturdy, and collapsible flight mill design. Most notably, the 3D printed components of this design allow the user to test insects of various sizes by making the heights of the mill arm and infrared (IR) sensors adjustable. The 3D prints also enable the user to easily disassemble the machine for quick storage or transportation to the field. Moreover, this study makes greater use of magnets and magnetic paint to tether insects with minimal stress. Lastly, this protocol details a versatile analysis of flight data through computer scripts that efficiently separate and analyze differentiable flight trials within a single recording. Although more labor-intensive, applying the tools available in makerspaces and on online 3D modeling programs facilitates multidisciplinary and process-orientated practices and helps researchers avoid costly, premade products with narrowly adjustable dimensions. By taking advantage of the flexibility and reproducibility of technology in makerspaces, this protocol promotes creative flight mill design and inspires open science.

This protocol uses three-dimensional (3D) printers and laser cutters found in makerspaces in order to create a more flexible flight mill design. By using this technology, researchers can reduce costs, enhance design flexibility, and generate reproducible work when constructing their flight mills for tethered insect flight studies.

Construindo uma usina de voo aprimorada para o estudo do voo de insetos amarrados

Makerspaces have a high potential of enabling researchers to develop new techniques and to work with novel species in ecological research. This protocol ...

Engenharia

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Small drones with chemical or biosensor devices that can detect airborne odorant molecules have attracted considerable attention owing to their applicability in environmental and security monitoring and search-and-rescue operations. Small drones with commercial metal-oxide-semiconductor (MOX) gas sensors have been developed for odor source localization; however, their real-time-odor-detection performance has proven inadequate. However, biosensing technologies based on insect olfactory systems exhibit relatively high sensitivity, selectivity, and real-time response with respect to odorant molecules compared to commercial MOX gas sensors. In such devices, excised insect antennae function as portable odorant biosensor elements and have been found to deliver excellent sensing performance. This study presents experimental protocols for odorant-molecule detection in the air using a small autonomous bio-hybrid drone based on a mountable electroantennography (EAG) device incorporating silkmoth antennae.
We developed a mountable EAG device including sensing/processing parts with a Wi-Fi module. The device was equipped with a simple sensor enclosure to enhance the sensor directivity. Thus, odor source localization was conducted using the spiral-surge algorithm, which does not assume an upwind direction. The experimental bio-hybrid odor-detecting drone identified real-time odorant-concentration differences in a pseudo-open environment (outside a wind tunnel) and localized the source. The developed drone and associated system can serve as an efficient odorant molecule-detection tool and a suitable flight platform for developing odor source localization algorithms owing to its high programmability.

This study introduces experimental protocols for a bio-hybrid odor-detecting drone based on silkmoth antennae. The operation of an experimental electroantennogram device with silkmoth antennae is presented, in addition to the structure of a bio-hybrid drone designed for odor source localization using the spiral-surge algorithm.

Drone bio-híbrido de detecção de odor baseado em eletroantennografia usando antenas de seda para localização de fonte de odor

Small drones with chemical or biosensor devices that can detect airborne odorant molecules have attracted considerable attention owing to their ...

Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees

We present two methods for observing bumblebee choice behavior in an enclosed testing space. The first method consists of Radio Frequency Identification (RFID) readers built into artificial flowers that display various visual cues, and RFID tags (i.e., passive transponders) glued to the thorax of bumblebee workers. The novelty in our implementation is that RFID readers are built directly into artificial flowers that are capable of displaying several distinct visual properties such as color, pattern type, spatial frequency (i.e., &#8220;busyness&#8221; of the pattern), and symmetry (spatial frequency and symmetry were not manipulated in this experiment). Additionally, these visual displays in conjunction with the automated systems are capable of recording unrewarded and untrained choice behavior. The second method consists of recording choice behavior at artificial flowers using motion-sensitive high-definition camcorders. Bumblebees have number tags glued to their thoraces for unique identification. The advantage in this implementation over RFID is that in addition to observing landing behavior, alternate measures of preference such as hovering and antennation may also be observed. Both automation methods increase experimental control, and internal validity by allowing larger scale studies that take into account individual differences. External validity is also improved because bees can freely enter and exit the testing environment without constraints such as the availability of a research assistant on-site. Compared to human observation in real time, the automated methods are more cost-effective and possibly less error-prone.

This video describes Radio-Frequency Identification (RFID) and motion-sensitive video recording methods to monitor choice behavior by bumblebees.

Radio Frequency Identification and Video Motion-sensível eficiente Automatizar Gravação de unrewarded escolha Comportamento por Zangões

We present two methods for observing bumblebee choice behavior in an enclosed testing space. The first method consists of Radio Frequency Identification ...

A Simple Flight Mill for the Study of Tethered Flight in Insects

Flight in insects can be long-range migratory flights, intermediate-range dispersal flights, or short-range host-seeking flights. Previous studies have shown that flight mills are valuable tools for the experimental study of insect flight behavior, allowing researchers to examine how factors such as age, host plants, or population source can influence an insects' propensity to disperse. Flight mills allow researchers to measure components of flight such as speed and distance flown. Lack of detailed information about how to build such a device can make their construction appear to be prohibitively complex. We present a simple and relatively inexpensive flight mill for the study of tethered flight in insects. Experimental insects can be tethered with non-toxic adhesives and revolve around an axis by means of a very low friction magnetic bearing. The mill is designed for the study of flight in controlled conditions as it can be used inside an incubator or environmental chamber. The strongest points are the very simple electronic circuitry, the design that allows sixteen insects to fly simultaneously allowing the collection and analysis of a large number of samples in a short time and the potential to use the device in a very limited workspace. This design is extremely flexible, and we have adjusted the mill to accommodate different species of insects of various sizes.

Flight in insects is influenced by a number of factors and the propensity to disperse is an important variable in understanding insect ecology and biological control strategies. We describe the construction and use of a simple, relatively inexpensive, and flexible flight mill for measuring parameters of tethered flight in insects.

Um simples vôo Mill para o Estudo da Amarrados no vôo Insetos

Flight in insects can be long-range migratory flights, intermediate-range dispersal flights, or short-range host-seeking flights. Previous studies have ...

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Robotic odor source localization has been a challenging area and one to which biological knowledge has been expected to contribute, as finding odor sources is an essential task for organism survival. Insects are well-studied organisms with regard to odor tracking, and their behavioral strategies have been applied to mobile robots for evaluation. This "bottom-up" approach is a fundamental way to develop biomimetic robots; however, the biological analyses and the modeling of behavioral mechanisms are still ongoing. Therefore, it is still unknown how such a biological system actually works as the controller of a robotic platform. To answer this question, we have developed an insect-controlled robot in which a male adult silkmoth (Bombyx mori) drives a robot car in response to odor stimuli; this can be regarded as a prototype of a future insect-mimetic robot. In the cockpit of the robot, a tethered silkmoth walked on an air-supported ball and an optical sensor measured the ball rotations. These rotations were translated into the movement of the two-wheeled robot. The advantage of this "hybrid" approach is that experimenters can manipulate any parameter of the robot, which enables the evaluation of the odor-tracking capability of insects and provides useful suggestions for robotic odor-tracking. Furthermore, these manipulations are non-invasive ways to alter the sensory-motor relationship of a pilot insect and will be a useful technique for understanding adaptive behaviors.

The capability to localize an odor source is necessary for insect survival and is expected to be applicable to artificial odor-tracking. The insect-controlled robot is driven by an actual silkmoth and enables us to evaluate the odor-tracking capability of insects through a robotic platform.

Robô controlado por insetos: uma plataforma móvel Robot avaliar a capacidade Odor-tracking de um inseto

Robotic odor source localization has been a challenging area and one to which biological knowledge has been expected to contribute, as finding odor ...

Insect-máquina Sistema Híbrido: Controle de rádio remoto de um Beetle Livremente Aeronáutica (

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